Simple Neural Net implementation in Haskell
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Updated
Mar 4, 2018 - Haskell
Simple Neural Net implementation in Haskell
A simple neural network with backpropagation used to recognize ASCII coded characters
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Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️
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Dense neural network with variable number of layers and sizes, state saving and loading. Kept as simple as possible.
Built from scratch neural network library using only NumPy
This project contains many topics inside. Please check the video link below for details
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