Deep Learning for Coders with Fastai and PyTorch (Full Colour Edition)

Deep Learning for Coders with Fastai and PyTorch teaches deep learning by starting with code. Jeremy Howard and Sylvain Gugger wrote it. The book uses the Fastai library and the PyTorch framework. It helps programmers create useful AI systems, such as ones that sort images, work with language, suggest items, or generate new material. No advanced mathematics is needed. The book's themes include learning by coding, improving models, and understanding their results. It is a practical guide to applying deep learning.

Why You Should Read?

• Master practical deep learning concepts by working through hands-on coding examples yourself.
• Gain deep learning skills in training, optimization, and interpretability without advanced mathematical expertise.
• Build and deploy practical AI applications using the Fastai library and PyTorch.