Howard Huang

Howard Huang is a software engineer and developer on the PyTorch library. During his tenure at PyTorch he has focused on large scale, distributed training.

books by Howard Huang

Deep Learning with PyTorch, Second Edition
  • February 2026
  • ISBN 9781633438859
  • 544 pages
Included with a Manning Online subscription
  • printed in black & white
resources: Source code Book forum Source code on GitHub Register your pBook for a free eBook

Deep Learning with PyTorch, Second Edition shows you how to build neural network models using the latest version of PyTorch. Clear explanations and practical projects help you master the fundamentals and explore advanced architectures including transformers and LLMs. Along the way you’ll learn techniques for training using augmented data, improving model architecture, and fine tuning.