Computational Methods for Deep Learning (2nd Edition)

✍ Scribed by Wei Qi Yan

Publisher: Springer Nature Singapore
Year: 2023
Tongue: English
Leaves: 467
Edition: 2
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

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

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