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· 제목 : Deep Learning Architectures: A Mathematical Approach (Paperback, 2020) 
· 분류 : 외국도서 > 과학/수학/생태 > 수학 > 응용수학
· ISBN : 9783030367237
· 쪽수 : 760쪽
· 분류 : 외국도서 > 과학/수학/생태 > 수학 > 응용수학
· ISBN : 9783030367237
· 쪽수 : 760쪽
목차
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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