Neural Networks and Deep Learning: A Textbook, 2nd Edition
$58.00
Publisher: Springer
Condition: New
ISBN-13: 9783031296444
Author: Charu C. Aggarwal
Format: Hardcover
This is the second edition of Charu C. Aggarwal's graduate-level textbook on neural networks, published by Springer. It presents the field as a coherent body of theory rather than a catalogue of tools, and is written for readers who want to understand why the methods work.
Coverage moves from the classical foundations of neural computation through backpropagation and training practice to the architectures that define modern deep learning, including convolutional networks, recurrent and sequence models, autoencoders, reinforcement learning, and generative approaches. Chapters pair the mathematics with worked discussion of how each family of models behaves.
Suited to graduate and advanced undergraduate coursework in machine learning, and to practitioners and researchers who want a durable reference on the theory behind the systems they build.
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