The Little Book of Deep Learning

This book provides a concise introduction to deep learning, targeting readers with a STEM background.

It covers foundational concepts such as machine learning, efficient computation, and training, including topics like GPUs, TPUs, tensors, losses, and model architectures.

The book assumes some background knowledge in deep learning and is particularly useful for intermediate to advanced AI engineers looking for a compact guide to the different concepts in the deep learning area.