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Neural Networks 1: a 3-minute history
Neural Networks 2: machine learning = feature engineering
Neural Networks 3: axons, dendrites, synapses
Neural Networks 4: McCulloch & Pitts neuron
Neural Networks 5: feedforward, recurrent and RBM
Neural Networks 6: solving XOR with a hidden layer
Neural Networks 7: universal approximation
Neural Networks 8: hidden units = features
Neural Networks 9: derivatives we need for backprop
Backpropagation: how it works
Neural Networks 11: Backpropagation in detail
Neural Networks 12: multiclass classification