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Computational Methods for Deep Learning (2nd Edition)

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The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book.

Author(s): Wei Qi Yan
Edition: 2
Publisher: Springer Nature Singapore
Year: 2023

Language: English
Pages: 467

Cover
Front Matter
1. Introduction
2. Deep Learning Platforms
3. Convolutional Neural Networks and Recurrent Neural Networks
4. Generative Adversarial Networks and Siamese Nets
5. Reinforcement Learning
6. Manifold Learning and Graph Neural Network
7. Transfer Learning and Ensemble Learning
Back Matter