End-End Deep Learning Project with CI/CD Pipeline
-
Updated
Jun 19, 2023 - Jupyter Notebook
End-End Deep Learning Project with CI/CD Pipeline
Image classification for dogs and cats with VGG-16 using PyTorch. Model accuracy: 99.6%. Classification API included
Build and train a deep learning model to classify cat and dog images, with model performance analysis.
Using VGG16 feature extractor with Scikit-learn Support Vector Machine to train the model to classify dogs and cats. Model accuracy: 94.71%
Dog 🐶 Cat 😻 Classification using Basic CNN Classification 🪄
EVE - A User-friendly graphical interface to demonstrate classification of dogs and cats using a Deep-Learning Model
Add a description, image, and links to the dog-cat-classification topic page so that developers can more easily learn about it.
To associate your repository with the dog-cat-classification topic, visit your repo's landing page and select "manage topics."