Grigory Sapunov: Deep Learning with JAX, Gebunden

Klappentext

From the back cover:

Deep Learning with JAX teaches you how to use JAX and its ecosystem to build neural networks. You'll learn by exploring interesting examples including an image classification tool, an image filter application, and a massive scale neural network with distributed training across a cluster of TPUs. Discover how to work with JAX for hardware and other low-level aspects and how to solve common machine learning problems with JAX. By the time you're finished with this awesome book, you'll be ready to start applying JAX to your own research and prototyping!

About the reader:

For intermediate Python programmers who are familiar with deep learning.