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Minimalistic NN framework implementation

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Dataset.hpp		Dataset.hpp
FCNet.hpp		FCNet.hpp
Makefile		Makefile
Matrix.hpp		Matrix.hpp
README.md		README.md
SGDTrainer.hpp		SGDTrainer.hpp
core.hpp		core.hpp
eval.hpp		eval.hpp
main.cpp		main.cpp

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uNet

Minimalistic fully connected neural network library.

Run training on MNIST

make download
make compile
./main

Examples

Accuracy on MNIST: 97.09%
- Hidden layers: 400-50 ReLu activation
Accuracy on MNIST: 98.08%
- Hidden layers: 800 Sigmoid activation

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