Deep Learning with PyTorch 1.x – Second Edition

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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