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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 perceptronTraining an artificial neural network Computing the logistic cost function Training neural networks via backpropagationDeveloping your intuition for backpropagation
Debugging neural networks with gradient checking
Convergence in neural networks
Other neural network architectures Convolutional Neural Networks Recurrent Neural NetworksA few last words about neural network implementation