Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD


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Publisher ‏ : ‎ O’Reilly Media; 1st edition (August 25, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 621 pages
ISBN-10 ‏ : ‎ 1492045527
ISBN-13 ‏ : ‎ 978-1492045526
Item Weight ‏ : ‎ 2.05 pounds
Dimensions ‏ : ‎ 6.9 x 1.1 x 9.1 inches


Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

Are you interested in diving into the world of deep learning but intimidated by the thought of needing a PhD to understand it? Look no further than the fastai library and PyTorch framework. With these tools, you can start building powerful AI applications without needing an advanced degree.

fastai is a high-level library built on top of PyTorch that simplifies the process of training deep learning models. It provides easy-to-use interfaces for common tasks like data loading, model training, and model interpretation. With fastai, you can quickly prototype and experiment with different neural network architectures without getting bogged down in the nitty-gritty details.

PyTorch, on the other hand, is a popular deep learning framework known for its flexibility and performance. It allows you to define and train neural networks with ease, thanks to its dynamic computation graph and intuitive API. By combining PyTorch with fastai, you can leverage the best of both worlds to build cutting-edge AI applications.

In the book “Deep Learning for Coders with fastai and PyTorch,” authors Jeremy Howard and Sylvain Gugger provide a hands-on introduction to deep learning for programmers. The book covers a wide range of topics, from the basics of neural networks to advanced techniques like transfer learning and generative adversarial networks. Each chapter is accompanied by practical code examples and exercises to help reinforce your understanding.

Whether you’re a beginner looking to get started with deep learning or an experienced coder wanting to level up your AI skills, “Deep Learning for Coders with fastai and PyTorch” is a must-read. By the end of the book, you’ll have the knowledge and confidence to tackle real-world AI projects without the need for a PhD. So why wait? Dive into the exciting world of deep learning today!
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