Best books that can help you master generative AI

"Hands-On Generative AI with TensorFlow 2.0" by Joseph Babcock and Rajalingappaa Shanmugamani:

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

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

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"Generative Models: An Overview" by David Blei:

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"Auto-Encoding Variational Bayes" by Diederik P. Kingma and Max Welling:

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"Generative Adversarial Networks" by Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio:

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"The Unreasonable Effectiveness of Deep Learning" by Yann LeCun, Yoshua Bengio, and Geoffrey Hinton:

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"Generative Modeling and Inverse Graphics in Vision" by William T. Freeman and Antonio Torralba:

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"GANs Beyond the Hype: Insights from Anomaly Detection" by Ananya Harsh Jha, Dinh Phung, and Svetha Venkatesh:

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