HandsOnDeepLearningWithPytorch

HandsOnDeepLearningWithPytorch copied to clipboard

HandsOnDeepLearningWithPytorch

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

.. _box: https://app.box.com/s/25ict2irqaz3nnd19qp8ymtmkwx3l61j

.. _TuringNetwork: https://github.com/turingnetworkai/turingnetwork

Chapters

#. Introduction #. A Simple Neural Network #. Deep Learning work flow #. Computer Vision #. Sequential Data Processing #. Generative Networks #. Reinforcement Learning #. PyTorch In Production

Utilities

• Visualization is handled by Netron - ::

  pip install netron

• Environment is handled by Pipenv

Usage

• 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