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diff --git a/00_blog/00040_Haskell/00220_Neural-Networks/index.md b/00_blog/00040_Haskell/00220_Neural-Networks/index.md new file mode 100644 index 0000000..f075430 --- /dev/null +++ b/00_blog/00040_Haskell/00220_Neural-Networks/index.md @@ -0,0 +1,20 @@ + March 2019 +# Neural Networks + +## Hello Sigmoid + +WORK IN PROGRESS + +* sigmoid neurons vs. perceptrons +* recurrent neural networks +* cost / loss / objective function +* quadratic cost function / mean squared error +* gradient descent +* gradient (vector of partial derivatives) +* Stochastic gradient descent + +## Ref + +* [1] <http://neuralnetworksanddeeplearning.com/> +* [2] <http://www.deeplearningbook.org/> +* [3] <https://medium.com/tebs-lab/how-to-classify-mnist-digits-with-different-neural-network-architectures-39c75a0f03e3> |