Deep Learning Architectures by Ovidiu Calin

Deep Learning Architectures by Ovidiu Calin

Introductory Problems.- Activation Functions.- Cost Functions.- Finding Minima Algorithms.- Abstract Neurons.- Neural Networks.- Approximation Theorems.- Learning with One-dimensional Inputs.- Universal Approximators.- Exact Learning.- Information Representation.- Information Capacity Assessment.- Output Manifolds.- Neuromanifolds.- Pooling.- Convolutional Networks.- Recurrent Neural Networks.- Classification.- Generative Models.- Stochastic Networks.- Hints and Solutions.

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ISBN 13
Title	Deep Learning Architectures
Author	Ovidiu Calin
Condition	Unavailable
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