Updated README.md for mlp_mnist

vision/mlp_mnist/README.md

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+# Multilayer Perceptron (MLP)
+
+![mlp](..\mlp_mnist\docs\mlp.svg)
+
+## Model Info
+
+An MLP consists of at least three of nodes: an input layer, a hidden layer and an output layer. Except for the input node each node is a neuron that uses a nonlinear activation function. MLP utilizes a supervised learning technique called backpropagation for training. Its multiple layers and non-linear activation distinguish MLP from a linear perceptron. It can distinguish data that is not linearly separable.
+
+## Training
+
+```script
+cd vision/mlp_mnist
+julia --project mlp_mnist.jl
+```
+
+## Reference
+
+[d2l.ai](http://d2l.ai/chapter_multilayer-perceptrons/mlp.html)