https://github.com/tensorchiefs/dl_book

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https://github.com/tensorchiefs/dl_book

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• Host: GitHub
• URL: https://github.com/tensorchiefs/dl_book
• Owner: tensorchiefs
• Created: 2018-11-13T15:49:25.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2023-09-03T18:40:54.000Z (about 1 year ago)
• Last Synced: 2024-06-01T16:16:48.765Z (6 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 96.6 MB
• Stars: 198
• Watchers: 9
• Forks: 107
• Open Issues: 17
• Metadata Files:
  • Readme: README.md

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README

        
# dl_book github

https://tensorchiefs.github.io/dl_book/

# Book







The book is availibe [https://www.manning.com/books/probabilistic-deep-learning-with-python](https://www.manning.com/books/probabilistic-deep-learning-with-python?a_aid=probabilistic_deep_learning&a_bid=78e55885)

### Note on the code

All examples in the book, except nb_06_05, are tested with the 2.0 of TensorFlow (TF) and the 0.8 version of TensorFlow Probability. The notebooks nb_ch03_03 and nb_ch03_04, describing the computation graph, are easier to understand in version 1 of TF. For these, we also include both versions. The nb_06_05 is only working with tf 1 (we need weights which are only provided in TF 1.0)  

You can execute the notebooks in google colab or locally. Colab is great, you can simply click on a link and you can play with the code in the cloud. No installation, you just need a browser. We definitely suggest that you to go this way. But, TensorFlow is still moving fast, and we cannot guarantee the code will run in several years. We, therefore, provided a docker container https://github.com/oduerr/dl_book_docker/ which you can use to execute all notebooks except nb_06_05 and the TF 1.0 versions of nb_ch03_03 and nb_ch03_04 run in this container. This docker container is also a way to go if you want to use the notebooks locally.