Volume 3: Deep Learning and Neural Networks

Chapter 1: Neural Network Basics Activation Functions Derivative of the Sigmoid Function Single Layer Network Chapter 2: Self Organizing Maps SOM Colors Chapter 3: Hopfield & Boltzmann Machines Hopfield Network Boltzmann Machine TSP Weight Grid Chapter 4: Feedforward Neural Networks Softmax Multi Layer Network Chapter 5: Training & Evaluation Annealing and ROC Chapter 6: Backpropagation Training X

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Javaによるニューラルネットワークの入門書．