Deep Learning Architectures a mathematical approach. Ovidiu Calin.
By: Calin, Ovidiu [author.].
Material type: TextPublisher: Switzerland. Springer Nature. c2020Description: xxx, 760 pages; E 64.99 ill.; 25 cms.ISBN: 9783030367237(pbk.).Subject(s): Computer science—Mathematics | Computer science. -- Mathematics | Machine learning
Contents:
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.
Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
Book | Chennai Mathematical Institute General Stacks | 006.31 CAL (Browse shelf) | Available | 11161 |
Total holds: 0
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006.3 PEN The large, the small, and the human mind / | 006.3 RUS Artificial intelligence : a modern approach / | 006.31 BAR Bayesian reasoning and machine learning / | 006.31 CAL Deep Learning Architectures a mathematical approach. | 006.31 GOO Deep learning / | 006.31 MAR Machine learning : an algorithmic perspective / | 006.31 MIT Machine Learning / |
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.