Can I read Neural Networks and Deep Learning on EtoBox?

Neural Networks and Deep Learning by Charu C. Aggarwal is a nonfiction available to read on EtoBox.

What is Neural Networks and Deep Learning about?

This book covers both classical and modern models in deep learning. The chapters of this book span three categories: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. Several advanced topics like deep reinforcement learning, neural Turing machines, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 9 and 10. The book is written for graduate students, researchers, and practitioners. Numerous exercises are available along with a sol

Who reads Neural Networks and Deep Learning?

Author

Charu C. Aggarwal

Publisher

Springer

Published

2018

Language

EN

Category

nonfiction

Subjects

Computer Science, Stem

Rating

4.43 / 5 (129 ratings)

Updated

2026-03-13