The deep learning chapter (Ch. 17) covers only basic MLPs and backprop. No CNNs, RNNs, attention, or modern optimization (Adam barely mentioned). Published 2014 — before the deep learning explosion.
Search your university's ProQuest or EBSCO host for "Alpaydin Machine Learning." If they have the license, you can generate a direct PDF link legally. The deep learning chapter (Ch
Includes a brand-new chapter dedicated to training and regularizing deep neural networks, covering Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs). covering the training
: This edition introduces a dedicated chapter on deep learning, covering the training, regularizing, and structuring of deep neural networks like Convolutional Neural Networks (CNNs) Generative Adversarial Networks (GANs) Reinforcement Learning The deep learning chapter (Ch