Hands-On Mathematics for Deep Learning
Build a solid mathematical foundation for training efficient deep neural networks
Publisher:Packt Publishing Limited
By:
Paid access
|Jun 2020
Table of Contents
- Linear Algebra
- Vector Calculus
- Probability and Statistics
- Optimization
- Graph Theory
- Linear Neural Networks
- Feedforward Neural Networks
- Regularization
- Convolutional Neural Networks
- Recurrent Neural Networks
- Attention Mechanisms
- Generative Models
- Transfer and Meta Learning
- Geometric Deep Learning
PDF ISBN: 978-1-83864-184-9
Publisher: Packt Publishing Limited
Copyright owner: © 2020 Packt Publishing Limited
Publication date: 2020
Language: English
Pages: 364
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