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Welcome to the SkinVestigatorAI wiki! This wiki provides an overview of the project, its components, and the underlying technology.
To leverage the power of artificial intelligence to improve early detection and diagnosis of skin cancer. We believe that by providing a user-friendly, accurate, and reliable tool for medical professionals, we can help save lives and foster increased interest in using AI to solve complex medical problems.
The DataScraper tool within this application is designed to download and pre-process skin lesion images. The M-3.1 dataset is 102,225 images.
The dataset used for training the model is sourced from the International Skin Imaging Collaboration (ISIC) Archive. The ISIC Archive is a large-scale resource for skin image analysis, providing open access to a wide variety of images for the development and evaluation of automated diagnostic systems.
For more information about the ISIC Archive and to access the data, visit ISIC Archive.
The images are organized into three folders:
-
data/train
: Contains all images, which are used for training the model. - Images are placed in folders with their label as its name, for example
data/train/melanoma
The SVModel
model employs a sophisticated deep learning architecture based on resnet50 but tailored for skin lesion classification.
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β Layer (type) β Output Shape β Param # β Connected to β
β‘βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ©
β input_layer (InputLayer) β (None, 160, 160, 3) β 0 β - β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d (Conv2D) β (None, 79, 79, 32) β 864 β input_layer[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization β (None, 79, 79, 32) β 96 β conv2d[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation (Activation) β (None, 79, 79, 32) β 0 β batch_normalization[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_1 (Conv2D) β (None, 77, 77, 32) β 9,216 β activation[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_1 β (None, 77, 77, 32) β 96 β conv2d_1[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_1 (Activation) β (None, 77, 77, 32) β 0 β batch_normalization_1[0][β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_2 (Conv2D) β (None, 77, 77, 64) β 18,432 β activation_1[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_2 β (None, 77, 77, 64) β 192 β conv2d_2[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_2 (Activation) β (None, 77, 77, 64) β 0 β batch_normalization_2[0][β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β max_pooling2d (MaxPooling2D) β (None, 38, 38, 64) β 0 β activation_2[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_3 (Conv2D) β (None, 38, 38, 80) β 5,120 β max_pooling2d[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_3 β (None, 38, 38, 80) β 240 β conv2d_3[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_3 (Activation) β (None, 38, 38, 80) β 0 β batch_normalization_3[0][β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_4 (Conv2D) β (None, 36, 36, 192) β 138,240 β activation_3[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_4 β (None, 36, 36, 192) β 576 β conv2d_4[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_4 (Activation) β (None, 36, 36, 192) β 0 β batch_normalization_4[0][β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β max_pooling2d_1 β (None, 17, 17, 192) β 0 β activation_4[0][0] β
β (MaxPooling2D) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_8 (Conv2D) β (None, 17, 17, 64) β 12,288 β max_pooling2d_1[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_8 β (None, 17, 17, 64) β 192 β conv2d_8[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_8 (Activation) β (None, 17, 17, 64) β 0 β batch_normalization_8[0][β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_6 (Conv2D) β (None, 17, 17, 48) β 9,216 β max_pooling2d_1[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_9 (Conv2D) β (None, 17, 17, 96) β 55,296 β activation_8[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_6 β (None, 17, 17, 48) β 144 β conv2d_6[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_9 β (None, 17, 17, 96) β 288 β conv2d_9[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_6 (Activation) β (None, 17, 17, 48) β 0 β batch_normalization_6[0][β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_9 (Activation) β (None, 17, 17, 96) β 0 β batch_normalization_9[0][β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β average_pooling2d β (None, 17, 17, 192) β 0 β max_pooling2d_1[0][0] β
β (AveragePooling2D) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_5 (Conv2D) β (None, 17, 17, 64) β 12,288 β max_pooling2d_1[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_7 (Conv2D) β (None, 17, 17, 64) β 76,800 β activation_6[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_10 (Conv2D) β (None, 17, 17, 96) β 82,944 β activation_9[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_11 (Conv2D) β (None, 17, 17, 32) β 6,144 β average_pooling2d[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_5 β (None, 17, 17, 64) β 192 β conv2d_5[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_7 β (None, 17, 17, 64) β 192 β conv2d_7[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_10 β (None, 17, 17, 96) β 288 β conv2d_10[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_11 β (None, 17, 17, 32) β 96 β conv2d_11[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_5 (Activation) β (None, 17, 17, 64) β 0 β batch_normalization_5[0][β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_7 (Activation) β (None, 17, 17, 64) β 0 β batch_normalization_7[0][β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_10 (Activation) β (None, 17, 17, 96) β 0 β batch_normalization_10[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_11 (Activation) β (None, 17, 17, 32) β 0 β batch_normalization_11[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β mixed0 (Concatenate) β (None, 17, 17, 256) β 0 β activation_5[0][0], β
β β β β activation_7[0][0], β
β β β β activation_10[0][0], β
β β β β activation_11[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_15 (Conv2D) β (None, 17, 17, 64) β 16,384 β mixed0[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_15 β (None, 17, 17, 64) β 192 β conv2d_15[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_15 (Activation) β (None, 17, 17, 64) β 0 β batch_normalization_15[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_13 (Conv2D) β (None, 17, 17, 48) β 12,288 β mixed0[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_16 (Conv2D) β (None, 17, 17, 96) β 55,296 β activation_15[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_13 β (None, 17, 17, 48) β 144 β conv2d_13[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_16 β (None, 17, 17, 96) β 288 β conv2d_16[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_13 (Activation) β (None, 17, 17, 48) β 0 β batch_normalization_13[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_16 (Activation) β (None, 17, 17, 96) β 0 β batch_normalization_16[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β average_pooling2d_1 β (None, 17, 17, 256) β 0 β mixed0[0][0] β
β (AveragePooling2D) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_12 (Conv2D) β (None, 17, 17, 64) β 16,384 β mixed0[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_14 (Conv2D) β (None, 17, 17, 64) β 76,800 β activation_13[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_17 (Conv2D) β (None, 17, 17, 96) β 82,944 β activation_16[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_18 (Conv2D) β (None, 17, 17, 64) β 16,384 β average_pooling2d_1[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_12 β (None, 17, 17, 64) β 192 β conv2d_12[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_14 β (None, 17, 17, 64) β 192 β conv2d_14[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_17 β (None, 17, 17, 96) β 288 β conv2d_17[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_18 β (None, 17, 17, 64) β 192 β conv2d_18[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_12 (Activation) β (None, 17, 17, 64) β 0 β batch_normalization_12[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_14 (Activation) β (None, 17, 17, 64) β 0 β batch_normalization_14[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_17 (Activation) β (None, 17, 17, 96) β 0 β batch_normalization_17[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_18 (Activation) β (None, 17, 17, 64) β 0 β batch_normalization_18[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β mixed1 (Concatenate) β (None, 17, 17, 288) β 0 β activation_12[0][0], β
β β β β activation_14[0][0], β
β β β β activation_17[0][0], β
β β β β activation_18[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_22 (Conv2D) β (None, 17, 17, 64) β 18,432 β mixed1[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_22 β (None, 17, 17, 64) β 192 β conv2d_22[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_22 (Activation) β (None, 17, 17, 64) β 0 β batch_normalization_22[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_20 (Conv2D) β (None, 17, 17, 48) β 13,824 β mixed1[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_23 (Conv2D) β (None, 17, 17, 96) β 55,296 β activation_22[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_20 β (None, 17, 17, 48) β 144 β conv2d_20[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_23 β (None, 17, 17, 96) β 288 β conv2d_23[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_20 (Activation) β (None, 17, 17, 48) β 0 β batch_normalization_20[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_23 (Activation) β (None, 17, 17, 96) β 0 β batch_normalization_23[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β average_pooling2d_2 β (None, 17, 17, 288) β 0 β mixed1[0][0] β
β (AveragePooling2D) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_19 (Conv2D) β (None, 17, 17, 64) β 18,432 β mixed1[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_21 (Conv2D) β (None, 17, 17, 64) β 76,800 β activation_20[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_24 (Conv2D) β (None, 17, 17, 96) β 82,944 β activation_23[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_25 (Conv2D) β (None, 17, 17, 64) β 18,432 β average_pooling2d_2[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_19 β (None, 17, 17, 64) β 192 β conv2d_19[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_21 β (None, 17, 17, 64) β 192 β conv2d_21[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_24 β (None, 17, 17, 96) β 288 β conv2d_24[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_25 β (None, 17, 17, 64) β 192 β conv2d_25[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_19 (Activation) β (None, 17, 17, 64) β 0 β batch_normalization_19[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_21 (Activation) β (None, 17, 17, 64) β 0 β batch_normalization_21[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_24 (Activation) β (None, 17, 17, 96) β 0 β batch_normalization_24[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_25 (Activation) β (None, 17, 17, 64) β 0 β batch_normalization_25[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β mixed2 (Concatenate) β (None, 17, 17, 288) β 0 β activation_19[0][0], β
β β β β activation_21[0][0], β
β β β β activation_24[0][0], β
β β β β activation_25[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_27 (Conv2D) β (None, 17, 17, 64) β 18,432 β mixed2[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_27 β (None, 17, 17, 64) β 192 β conv2d_27[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_27 (Activation) β (None, 17, 17, 64) β 0 β batch_normalization_27[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_28 (Conv2D) β (None, 17, 17, 96) β 55,296 β activation_27[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_28 β (None, 17, 17, 96) β 288 β conv2d_28[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_28 (Activation) β (None, 17, 17, 96) β 0 β batch_normalization_28[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_26 (Conv2D) β (None, 8, 8, 384) β 995,328 β mixed2[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_29 (Conv2D) β (None, 8, 8, 96) β 82,944 β activation_28[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_26 β (None, 8, 8, 384) β 1,152 β conv2d_26[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_29 β (None, 8, 8, 96) β 288 β conv2d_29[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_26 (Activation) β (None, 8, 8, 384) β 0 β batch_normalization_26[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_29 (Activation) β (None, 8, 8, 96) β 0 β batch_normalization_29[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β max_pooling2d_2 β (None, 8, 8, 288) β 0 β mixed2[0][0] β
β (MaxPooling2D) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β mixed3 (Concatenate) β (None, 8, 8, 768) β 0 β activation_26[0][0], β
β β β β activation_29[0][0], β
β β β β max_pooling2d_2[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_34 (Conv2D) β (None, 8, 8, 128) β 98,304 β mixed3[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_34 β (None, 8, 8, 128) β 384 β conv2d_34[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_34 (Activation) β (None, 8, 8, 128) β 0 β batch_normalization_34[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_35 (Conv2D) β (None, 8, 8, 128) β 114,688 β activation_34[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_35 β (None, 8, 8, 128) β 384 β conv2d_35[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_35 (Activation) β (None, 8, 8, 128) β 0 β batch_normalization_35[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_31 (Conv2D) β (None, 8, 8, 128) β 98,304 β mixed3[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_36 (Conv2D) β (None, 8, 8, 128) β 114,688 β activation_35[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_31 β (None, 8, 8, 128) β 384 β conv2d_31[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_36 β (None, 8, 8, 128) β 384 β conv2d_36[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_31 (Activation) β (None, 8, 8, 128) β 0 β batch_normalization_31[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_36 (Activation) β (None, 8, 8, 128) β 0 β batch_normalization_36[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_32 (Conv2D) β (None, 8, 8, 128) β 114,688 β activation_31[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_37 (Conv2D) β (None, 8, 8, 128) β 114,688 β activation_36[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_32 β (None, 8, 8, 128) β 384 β conv2d_32[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_37 β (None, 8, 8, 128) β 384 β conv2d_37[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_32 (Activation) β (None, 8, 8, 128) β 0 β batch_normalization_32[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_37 (Activation) β (None, 8, 8, 128) β 0 β batch_normalization_37[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β average_pooling2d_3 β (None, 8, 8, 768) β 0 β mixed3[0][0] β
β (AveragePooling2D) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_30 (Conv2D) β (None, 8, 8, 192) β 147,456 β mixed3[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_33 (Conv2D) β (None, 8, 8, 192) β 172,032 β activation_32[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_38 (Conv2D) β (None, 8, 8, 192) β 172,032 β activation_37[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_39 (Conv2D) β (None, 8, 8, 192) β 147,456 β average_pooling2d_3[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_30 β (None, 8, 8, 192) β 576 β conv2d_30[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_33 β (None, 8, 8, 192) β 576 β conv2d_33[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_38 β (None, 8, 8, 192) β 576 β conv2d_38[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_39 β (None, 8, 8, 192) β 576 β conv2d_39[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_30 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_30[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_33 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_33[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_38 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_38[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_39 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_39[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β mixed4 (Concatenate) β (None, 8, 8, 768) β 0 β activation_30[0][0], β
β β β β activation_33[0][0], β
β β β β activation_38[0][0], β
β β β β activation_39[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_44 (Conv2D) β (None, 8, 8, 160) β 122,880 β mixed4[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_44 β (None, 8, 8, 160) β 480 β conv2d_44[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_44 (Activation) β (None, 8, 8, 160) β 0 β batch_normalization_44[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_45 (Conv2D) β (None, 8, 8, 160) β 179,200 β activation_44[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_45 β (None, 8, 8, 160) β 480 β conv2d_45[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_45 (Activation) β (None, 8, 8, 160) β 0 β batch_normalization_45[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_41 (Conv2D) β (None, 8, 8, 160) β 122,880 β mixed4[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_46 (Conv2D) β (None, 8, 8, 160) β 179,200 β activation_45[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_41 β (None, 8, 8, 160) β 480 β conv2d_41[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_46 β (None, 8, 8, 160) β 480 β conv2d_46[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_41 (Activation) β (None, 8, 8, 160) β 0 β batch_normalization_41[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_46 (Activation) β (None, 8, 8, 160) β 0 β batch_normalization_46[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_42 (Conv2D) β (None, 8, 8, 160) β 179,200 β activation_41[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_47 (Conv2D) β (None, 8, 8, 160) β 179,200 β activation_46[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_42 β (None, 8, 8, 160) β 480 β conv2d_42[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_47 β (None, 8, 8, 160) β 480 β conv2d_47[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_42 (Activation) β (None, 8, 8, 160) β 0 β batch_normalization_42[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_47 (Activation) β (None, 8, 8, 160) β 0 β batch_normalization_47[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β average_pooling2d_4 β (None, 8, 8, 768) β 0 β mixed4[0][0] β
β (AveragePooling2D) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_40 (Conv2D) β (None, 8, 8, 192) β 147,456 β mixed4[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_43 (Conv2D) β (None, 8, 8, 192) β 215,040 β activation_42[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_48 (Conv2D) β (None, 8, 8, 192) β 215,040 β activation_47[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_49 (Conv2D) β (None, 8, 8, 192) β 147,456 β average_pooling2d_4[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_40 β (None, 8, 8, 192) β 576 β conv2d_40[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_43 β (None, 8, 8, 192) β 576 β conv2d_43[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_48 β (None, 8, 8, 192) β 576 β conv2d_48[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_49 β (None, 8, 8, 192) β 576 β conv2d_49[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_40 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_40[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_43 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_43[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_48 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_48[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_49 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_49[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β mixed5 (Concatenate) β (None, 8, 8, 768) β 0 β activation_40[0][0], β
β β β β activation_43[0][0], β
β β β β activation_48[0][0], β
β β β β activation_49[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_54 (Conv2D) β (None, 8, 8, 160) β 122,880 β mixed5[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_54 β (None, 8, 8, 160) β 480 β conv2d_54[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_54 (Activation) β (None, 8, 8, 160) β 0 β batch_normalization_54[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_55 (Conv2D) β (None, 8, 8, 160) β 179,200 β activation_54[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_55 β (None, 8, 8, 160) β 480 β conv2d_55[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_55 (Activation) β (None, 8, 8, 160) β 0 β batch_normalization_55[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_51 (Conv2D) β (None, 8, 8, 160) β 122,880 β mixed5[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_56 (Conv2D) β (None, 8, 8, 160) β 179,200 β activation_55[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_51 β (None, 8, 8, 160) β 480 β conv2d_51[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_56 β (None, 8, 8, 160) β 480 β conv2d_56[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_51 (Activation) β (None, 8, 8, 160) β 0 β batch_normalization_51[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_56 (Activation) β (None, 8, 8, 160) β 0 β batch_normalization_56[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_52 (Conv2D) β (None, 8, 8, 160) β 179,200 β activation_51[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_57 (Conv2D) β (None, 8, 8, 160) β 179,200 β activation_56[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_52 β (None, 8, 8, 160) β 480 β conv2d_52[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_57 β (None, 8, 8, 160) β 480 β conv2d_57[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_52 (Activation) β (None, 8, 8, 160) β 0 β batch_normalization_52[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_57 (Activation) β (None, 8, 8, 160) β 0 β batch_normalization_57[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β average_pooling2d_5 β (None, 8, 8, 768) β 0 β mixed5[0][0] β
β (AveragePooling2D) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_50 (Conv2D) β (None, 8, 8, 192) β 147,456 β mixed5[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_53 (Conv2D) β (None, 8, 8, 192) β 215,040 β activation_52[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_58 (Conv2D) β (None, 8, 8, 192) β 215,040 β activation_57[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_59 (Conv2D) β (None, 8, 8, 192) β 147,456 β average_pooling2d_5[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_50 β (None, 8, 8, 192) β 576 β conv2d_50[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_53 β (None, 8, 8, 192) β 576 β conv2d_53[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_58 β (None, 8, 8, 192) β 576 β conv2d_58[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_59 β (None, 8, 8, 192) β 576 β conv2d_59[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_50 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_50[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_53 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_53[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_58 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_58[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_59 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_59[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β mixed6 (Concatenate) β (None, 8, 8, 768) β 0 β activation_50[0][0], β
β β β β activation_53[0][0], β
β β β β activation_58[0][0], β
β β β β activation_59[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_64 (Conv2D) β (None, 8, 8, 192) β 147,456 β mixed6[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_64 β (None, 8, 8, 192) β 576 β conv2d_64[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_64 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_64[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_65 (Conv2D) β (None, 8, 8, 192) β 258,048 β activation_64[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_65 β (None, 8, 8, 192) β 576 β conv2d_65[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_65 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_65[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_61 (Conv2D) β (None, 8, 8, 192) β 147,456 β mixed6[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_66 (Conv2D) β (None, 8, 8, 192) β 258,048 β activation_65[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_61 β (None, 8, 8, 192) β 576 β conv2d_61[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_66 β (None, 8, 8, 192) β 576 β conv2d_66[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_61 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_61[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_66 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_66[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_62 (Conv2D) β (None, 8, 8, 192) β 258,048 β activation_61[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_67 (Conv2D) β (None, 8, 8, 192) β 258,048 β activation_66[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_62 β (None, 8, 8, 192) β 576 β conv2d_62[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_67 β (None, 8, 8, 192) β 576 β conv2d_67[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_62 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_62[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_67 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_67[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β average_pooling2d_6 β (None, 8, 8, 768) β 0 β mixed6[0][0] β
β (AveragePooling2D) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_60 (Conv2D) β (None, 8, 8, 192) β 147,456 β mixed6[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_63 (Conv2D) β (None, 8, 8, 192) β 258,048 β activation_62[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_68 (Conv2D) β (None, 8, 8, 192) β 258,048 β activation_67[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_69 (Conv2D) β (None, 8, 8, 192) β 147,456 β average_pooling2d_6[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_60 β (None, 8, 8, 192) β 576 β conv2d_60[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_63 β (None, 8, 8, 192) β 576 β conv2d_63[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_68 β (None, 8, 8, 192) β 576 β conv2d_68[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_69 β (None, 8, 8, 192) β 576 β conv2d_69[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_60 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_60[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_63 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_63[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_68 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_68[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_69 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_69[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β mixed7 (Concatenate) β (None, 8, 8, 768) β 0 β activation_60[0][0], β
β β β β activation_63[0][0], β
β β β β activation_68[0][0], β
β β β β activation_69[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_72 (Conv2D) β (None, 8, 8, 192) β 147,456 β mixed7[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_72 β (None, 8, 8, 192) β 576 β conv2d_72[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_72 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_72[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_73 (Conv2D) β (None, 8, 8, 192) β 258,048 β activation_72[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_73 β (None, 8, 8, 192) β 576 β conv2d_73[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_73 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_73[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_70 (Conv2D) β (None, 8, 8, 192) β 147,456 β mixed7[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_74 (Conv2D) β (None, 8, 8, 192) β 258,048 β activation_73[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_70 β (None, 8, 8, 192) β 576 β conv2d_70[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_74 β (None, 8, 8, 192) β 576 β conv2d_74[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_70 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_70[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_74 (Activation) β (None, 8, 8, 192) β 0 β batch_normalization_74[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_71 (Conv2D) β (None, 3, 3, 320) β 552,960 β activation_70[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_75 (Conv2D) β (None, 3, 3, 192) β 331,776 β activation_74[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_71 β (None, 3, 3, 320) β 960 β conv2d_71[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_75 β (None, 3, 3, 192) β 576 β conv2d_75[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_71 (Activation) β (None, 3, 3, 320) β 0 β batch_normalization_71[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_75 (Activation) β (None, 3, 3, 192) β 0 β batch_normalization_75[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β max_pooling2d_3 β (None, 3, 3, 768) β 0 β mixed7[0][0] β
β (MaxPooling2D) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β mixed8 (Concatenate) β (None, 3, 3, 1280) β 0 β activation_71[0][0], β
β β β β activation_75[0][0], β
β β β β max_pooling2d_3[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_80 (Conv2D) β (None, 3, 3, 448) β 573,440 β mixed8[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_80 β (None, 3, 3, 448) β 1,344 β conv2d_80[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_80 (Activation) β (None, 3, 3, 448) β 0 β batch_normalization_80[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_77 (Conv2D) β (None, 3, 3, 384) β 491,520 β mixed8[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_81 (Conv2D) β (None, 3, 3, 384) β 1,548,288 β activation_80[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_77 β (None, 3, 3, 384) β 1,152 β conv2d_77[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_81 β (None, 3, 3, 384) β 1,152 β conv2d_81[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_77 (Activation) β (None, 3, 3, 384) β 0 β batch_normalization_77[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_81 (Activation) β (None, 3, 3, 384) β 0 β batch_normalization_81[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_78 (Conv2D) β (None, 3, 3, 384) β 442,368 β activation_77[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_79 (Conv2D) β (None, 3, 3, 384) β 442,368 β activation_77[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_82 (Conv2D) β (None, 3, 3, 384) β 442,368 β activation_81[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_83 (Conv2D) β (None, 3, 3, 384) β 442,368 β activation_81[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β average_pooling2d_7 β (None, 3, 3, 1280) β 0 β mixed8[0][0] β
β (AveragePooling2D) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_76 (Conv2D) β (None, 3, 3, 320) β 409,600 β mixed8[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_78 β (None, 3, 3, 384) β 1,152 β conv2d_78[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_79 β (None, 3, 3, 384) β 1,152 β conv2d_79[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_82 β (None, 3, 3, 384) β 1,152 β conv2d_82[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_83 β (None, 3, 3, 384) β 1,152 β conv2d_83[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_84 (Conv2D) β (None, 3, 3, 192) β 245,760 β average_pooling2d_7[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_76 β (None, 3, 3, 320) β 960 β conv2d_76[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_78 (Activation) β (None, 3, 3, 384) β 0 β batch_normalization_78[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_79 (Activation) β (None, 3, 3, 384) β 0 β batch_normalization_79[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_82 (Activation) β (None, 3, 3, 384) β 0 β batch_normalization_82[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_83 (Activation) β (None, 3, 3, 384) β 0 β batch_normalization_83[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_84 β (None, 3, 3, 192) β 576 β conv2d_84[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_76 (Activation) β (None, 3, 3, 320) β 0 β batch_normalization_76[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β mixed9_0 (Concatenate) β (None, 3, 3, 768) β 0 β activation_78[0][0], β
β β β β activation_79[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β concatenate (Concatenate) β (None, 3, 3, 768) β 0 β activation_82[0][0], β
β β β β activation_83[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_84 (Activation) β (None, 3, 3, 192) β 0 β batch_normalization_84[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β mixed9 (Concatenate) β (None, 3, 3, 2048) β 0 β activation_76[0][0], β
β β β β mixed9_0[0][0], β
β β β β concatenate[0][0], β
β β β β activation_84[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_89 (Conv2D) β (None, 3, 3, 448) β 917,504 β mixed9[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_89 β (None, 3, 3, 448) β 1,344 β conv2d_89[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_89 (Activation) β (None, 3, 3, 448) β 0 β batch_normalization_89[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_86 (Conv2D) β (None, 3, 3, 384) β 786,432 β mixed9[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_90 (Conv2D) β (None, 3, 3, 384) β 1,548,288 β activation_89[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_86 β (None, 3, 3, 384) β 1,152 β conv2d_86[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_90 β (None, 3, 3, 384) β 1,152 β conv2d_90[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_86 (Activation) β (None, 3, 3, 384) β 0 β batch_normalization_86[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_90 (Activation) β (None, 3, 3, 384) β 0 β batch_normalization_90[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_87 (Conv2D) β (None, 3, 3, 384) β 442,368 β activation_86[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_88 (Conv2D) β (None, 3, 3, 384) β 442,368 β activation_86[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_91 (Conv2D) β (None, 3, 3, 384) β 442,368 β activation_90[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_92 (Conv2D) β (None, 3, 3, 384) β 442,368 β activation_90[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β average_pooling2d_8 β (None, 3, 3, 2048) β 0 β mixed9[0][0] β
β (AveragePooling2D) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_85 (Conv2D) β (None, 3, 3, 320) β 655,360 β mixed9[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_87 β (None, 3, 3, 384) β 1,152 β conv2d_87[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_88 β (None, 3, 3, 384) β 1,152 β conv2d_88[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_91 β (None, 3, 3, 384) β 1,152 β conv2d_91[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_92 β (None, 3, 3, 384) β 1,152 β conv2d_92[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β conv2d_93 (Conv2D) β (None, 3, 3, 192) β 393,216 β average_pooling2d_8[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_85 β (None, 3, 3, 320) β 960 β conv2d_85[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_87 (Activation) β (None, 3, 3, 384) β 0 β batch_normalization_87[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_88 (Activation) β (None, 3, 3, 384) β 0 β batch_normalization_88[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_91 (Activation) β (None, 3, 3, 384) β 0 β batch_normalization_91[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_92 (Activation) β (None, 3, 3, 384) β 0 β batch_normalization_92[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_93 β (None, 3, 3, 192) β 576 β conv2d_93[0][0] β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_85 (Activation) β (None, 3, 3, 320) β 0 β batch_normalization_85[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β mixed9_1 (Concatenate) β (None, 3, 3, 768) β 0 β activation_87[0][0], β
β β β β activation_88[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β concatenate_1 (Concatenate) β (None, 3, 3, 768) β 0 β activation_91[0][0], β
β β β β activation_92[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β activation_93 (Activation) β (None, 3, 3, 192) β 0 β batch_normalization_93[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β mixed10 (Concatenate) β (None, 3, 3, 2048) β 0 β activation_85[0][0], β
β β β β mixed9_1[0][0], β
β β β β concatenate_1[0][0], β
β β β β activation_93[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β global_average_pooling2d β (None, 2048) β 0 β mixed10[0][0] β
β (GlobalAveragePooling2D) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β batch_normalization_94 β (None, 2048) β 8,192 β global_average_pooling2d[β¦ β
β (BatchNormalization) β β β β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β dense (Dense) β (None, 2048) β 4,196,352 β batch_normalization_94[0]β¦ β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β dropout (Dropout) β (None, 2048) β 0 β dense[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β dense_1 (Dense) β (None, 1024) β 2,098,176 β dropout[0][0] β
βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββΌββββββββββββββββββΌβββββββββββββββββββββββββββββ€
β dense_2 (Dense) β (None, 28) β 28,700 β dense_1[0][0] β
βββββββββββββββββββββββββββββββββ΄ββββββββββββββββββββββββββββ΄ββββββββββββββββββ΄βββββββββββββββββββββββββββββ
Total params: 28,134,204 (107.32 MB)
Trainable params: 6,327,516 (24.14 MB)
Non-trainable params: 21,806,688 (83.19 MB)
102,225 files belonging to 28 classes. Using 81,780 files for training. Using 20,445 files for validation.
For a detailed explanation of the training process, refer to the Training Process wiki page.
The updated model demonstrates significant improvements in its ability to classify skin lesions accurately, achieving an accuracy of 84% and a loss of 0.23 on the testing dataset. The model's sensitivity, specificity, precision, and F1 score have also seen considerable enhancements, with the following scores reported on the testing dataset:
- Recall: 69.24%
- Precision: 77.94%
- Accuracy: 72%
- Loss: 1.04571
Metric | Target Range | Progress |
---|---|---|
Loss | Close to 0 | |
Accuracy | 85% - 95% | |
Precision | 80% - 90% | |
Recall | 85% - 95% |