https://github.com/hhsecond/handsondeeplearningwithpytorch
Code snippets and applications explained in the book - HandsOnDeepLearningWithPytorch
https://github.com/hhsecond/handsondeeplearningwithpytorch
Last synced: about 1 year ago
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Code snippets and applications explained in the book - HandsOnDeepLearningWithPytorch
- Host: GitHub
- URL: https://github.com/hhsecond/handsondeeplearningwithpytorch
- Owner: hhsecond
- License: mit
- Created: 2017-10-11T02:51:07.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2019-06-26T19:33:45.000Z (almost 7 years ago)
- Last Synced: 2025-03-21T00:11:15.574Z (about 1 year ago)
- Language: Python
- Homepage:
- Size: 201 KB
- Stars: 126
- Watchers: 4
- Forks: 46
- Open Issues: 1
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
Awesome Lists containing this project
README
******************************
HandsOnDeepLearningWithPytorch
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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``
.. _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