Here are ten influential books on generative AI that were highly regarded up to that point

"Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play" by David Foster

"Hands-On Generative AI with TensorFlow 2.0: Implementing Creative Applications in Python" by Juan De Dios Santos

"Generative Adversarial Networks: An Overview" by Kyoungmin Kim

"Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

"Generative Deep Learning: Develop Intelligent Generative Models Using TensorFlow and Keras" by Rowel Atienza

"Generative Models" by Shakir Mohamed and Danilo Rezende

"Creative Coding Generative Art: Mathematics and Code" by John Maeda

"GANs in Action: Deep learning with Generative Adversarial Networks" by Jakub Langr and Vladimir Bok

"Deep Learning for Computer Vision" by Rajalingappaa Shanmugamani

"Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili