Transformers for Machine Learning: A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Deep Learning for Vision Systems

Deep Learning for Robot Perception and Cognition

Transformers for Natural Language Processing - Second Edition: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4

Interpretable Machine Learning with Python - Second Edition: Build explainable, fair, and robust high-performance models with hands-on, real-world examples

Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

Practical Deep Learning: A Python-Based Introduction

Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume III: Sequences & NLP

The Creativity Code: Art and Innovation in the Age of AI

A Guide to Convolutional Neural Networks for Computer Vision (Synthesis Lectures on Computer Vision, 15)