🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
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Aug 29, 2024 - Python
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linear-layers
Here are 5 public repositories matching this topic...
This repository contains deep learning models on FashionMNIST(state-of-art dataset).
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Nov 14, 2022 - Jupyter Notebook
Python from-scratch implementation of a Neural Network Classifier. Dive into the fundamentals of approximation, non-linearity, regularization, gradients, and backpropagation.
python
deep-learning
image-classification
gradient-descent
backpropagation
multilayer-perceptron
fashion-mnist
relu-activation
linear-layers
dropout-layers
deep-dives
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Jul 25, 2024 - Jupyter Notebook
MNIST Image reconstruction using Autoencoders
deep-learning
image-reconstruction
encoder
decoder
cnn
mnist
neural-networks
convolutional-layers
autoencoder
convolutional-neural-networks
upsampling
mnist-handwriting-recognition
transpose-convolution
linear-layers
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Sep 17, 2020 - Jupyter Notebook
Annotated vanilla implementation in PyTorch of the Transformer model introduced in 'Attention Is All You Need'.
pytorch
feedforward-neural-network
softmax
transfomer
attention-is-all-you-need
multihead-attention
self-attention
gelu
dot-product-attention
encoder-decoder-architecture
positional-encoding
linear-layers
dropout-layers
normalization-layers
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Feb 19, 2024 - Jupyter Notebook
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