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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
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
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