Repository is arranged chapter wise and each folder includes the code used + the visualization of models use. Dataset used for the models are either available in the shared box folder or downloadable from the torch utility packages such as torchvision, torchtext or torchaudio
- Introduction
- A Simple Neural Network
- Deep Learning work flow
- Computer Vision
- Sequential Data Processing
- Generative Networks
- Reinforcement Learning
- PyTorch In Production
Visualization is handled by Netron -
pip install netron
Environment is handled by Pipenv
Clone the repository
git clone https://github.com/hhsecond/HandsOnDeepLearningWithPytorch.git && cd HandsOnDeepLearningWithPytorch
Install dependancies. HandsOnDeepLearningWithPytorch is using conda with python3.7
conda env create -f environment.yml
CD to chapter directores and execute the models