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+Sebastian Raschka, 2015
+
+Python Machine Learning - Code Examples
+
+## Chapter 12 - Training Artificial Neural Networks for Image
+
+- Modeling complex functions with artificial neural networks
+  - Single-layer neural network recap
+  - Introducing the multi-layer neural network architecture
+  - Activating a neural network via forward propagation
+- Classifying handwritten digits
+  - Obtaining the MNIST dataset
+  - Implementing a multi-layer perceptron
+- Training an artificial neural network
+  - Computing the logistic cost function
+  - Training neural networks via backpropagation
+- Developing your intuition for backpropagation
+- Debugging neural networks with gradient checking
+- Convergence in neural networks
+- Other neural network architectures
+  - Convolutional Neural Networks
+  - Recurrent Neural Networks
+- A few last words about neural network implementation
+- Summary