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generative deep learning, 2nd edition pdf
Generative Deep Learning, 2nd Edition by David Foster is a comprehensive resource on deep learning models that generate new data, such as images, text, and music. This edition delves deeper into the advancements of generative models, focusing on architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and reinforcement learning. The book provides clear explanations, practical examples, and hands-on coding with frameworks like TensorFlow and PyTorch, making it suitable for both newcomers and experienced practitioners. It also includes updated techniques and case studies, ensuring that readers can implement state-of-the-art generative models. Whether you’re a student, researcher, or practitioner, this book is a valuable guide to mastering generative AI.
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