Generative Deep Learning
In 'Generative Deep Learning, Second Edition,' David Foster explores how advanced deep learning models create art, music, and text. This updated edition provides hands-on guidance on foundational concepts and cutting-edge techniques, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), transformers, and diffusion models. Readers will learn practical implementations for realistic image synthesis, music composition, and coherent text generation using TensorFlow and Py
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About the author
16 books · 12 followers
David Foster is an accomplished author and educator whose published works and academic contributions are widely featured across schools, universities, and readers in Nepal.
16 books · 12 followers
Karl Friston is an accomplished author and educator whose published works and academic contributions are widely featured across schools, universities, and readers in Nepal.
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