With Deep Learning with PyTorch 1.x – Second Edition, gain a thorough understanding of the PyTorch framework and learn to implement neural network architectures. Understand GPU computing to perform heavy deep learning computations using Python. (Limited-time offer)
Book Description
- Section 1: Building Blocks of Deep Learning with PyTorch 1.x
- Getting Started with Deep Learning Using PyTorch
- Building Blocks of Neural Networks
- Section 2: Going Advanced with Deep Learning
- Diving Deep into Neural Networks
- Deep Learning for Computer Vision
- Natural Language Processing with Sequence Data
- Section 3: Understanding Modern Architectures in Deep Learning
- Implementing Autoencoders
- Working with Generative Adversarial Networks
- Transfer Learning with Modern Network Architectures
- Deep Reinforcement Learning
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Author(s): Laura Mitchell, Sri. Yogesh K., Vishnu Subramanian
Publisher: Packt Publishing
Published: November 2019
Format(s): Online
File size: –
Number of pages: 304
Download / View Link(s): This offer has ended.
Free as of 08/29/2020.
Publisher: Packt Publishing
Published: November 2019
Format(s): Online
File size: –
Number of pages: 304
Download / View Link(s): This offer has ended.
Free as of 08/29/2020.