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Only-Numpy

python3.x

Implementing varity of Neural Network Algorithms only using Numpy Library, and maybe Sklearn (only to generate training data.)

For more tutorial Visit my You Tube Channel: https://www.youtube.com/c/JaeDukSeo.
Also, Follow me on Twitter: https://twitter.com/JaeDukSeo.
Also, Follow me on Medium: https://medium.com/@SeoJaeDuk.

What's included?

  • ANN Basic And Gate
  • ANN Basic Constant Learning Rate
  • ANN Basic Constant Step Decay
  • RNN without Activation Function
  • RNN with Activation Function
  • Sythentic Gradient
  • Sythentic Gradient (Multi Threaded)

Youtube Channel

  • I have a Youtube channel where I try to explain things follow this Link

Medium Explanation Posts

Only Numpy: Deriving Forward feed and Back Propagation in Synthetic Gradient (Decoupled Neural Interfaces) with Interactive Code feat. iamtrask

synthetic

Only Numpy: Vanilla Recurrent Neural Network Deriving Back propagation Through Time Practice

rnn

Setting up

Clone the repo
$ git clone https://github.com/JaeDukSeo/Only_Numpy_Basic
$ cd Only_Numpy_Basic
Choose the NN type you wish to run and go into repo
$ cd 2_Decoupled_Neural_Network
run the code in ptyhon3
$ python3 1_Red_Box_Case

License

MIT License

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This repository contains code for my only numpy basic.

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