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MichalDanielDobrzanski

DeepLearningPython

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support.

TutorialsML/AI fundamentalsPython
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Created 2016-07-29 · Updated 2026-10-15 · #8338 today
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MichalDanielDobrzanski/DeepLearningPython is ranked 8,338 with 2,827 stars.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryTutorials
SubcategoryML/AI fundamentals
Stars2,827
Forks1,271
Contributors4
Created date2016-07-29
Updated date2026-10-15
Stars in 1 day0
Stars in 7 days-1
Rank8,338
Previous rank18,478
Rank change10,140
7-day stars rank16,850
Previous 7-day stars rank16,864
7-day stars rank change14
Total stars rank4,779
Previous total stars rank4,777
Total stars rank change-2
CountryPoland
README summary

2 and Theano with CUDA support These scrips are updated ones from the **neuralnetworksanddeeplearning. com** gitHub repository in order to work with Python 3. py**) contains all three networks (network. py) from the book and it is the starting point to run (i. py there are examples of networks configurations with proper comments. I did that to relate with particular chapters from the book.

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MichalDanielDobrzanski/DeepLearningPython has 2,827 stars and 1,271 forks.

What is the repository rank?

MichalDanielDobrzanski/DeepLearningPython is ranked 8,338.

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MichalDanielDobrzanski/DeepLearningPython has 2,827 stars, uses Python and belongs to Tutorials.

Which repository is closest in rank?

MichalDanielDobrzanski/DeepLearningPython is compared with rasbt/deep-learning-book, ranked 8,342 with 2,825 stars.

README

Overview

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

These scrips are updated ones from the neuralnetworksanddeeplearning.com gitHub repository in order to work with Python 3.5.2

The testing file (test.py) contains all three networks (network.py, network2.py, network3.py) from the book and it is the starting point to run (i.e. train and evaluate) them.

Just type at shell: python3.5 test.py

In test.py there are examples of networks configurations with proper comments. I did that to relate with particular chapters from the book.

License

Disributed under MIT License. Link.

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