started notes on neuronal networks

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+    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>