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Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models, and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

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Generative Deep Learning, 2nd Edition [Book] - O'Reilly Media

This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

Generative Deep Learning [Book] - O'Reilly Media

Generative Deep Learning [Book] by David Foster. Released June 2019. Publisher (s): O'Reilly Media, Inc. ISBN: 9781492041948. Read it now on the O'Reilly learning platform with a 10-day free trial. O'Reilly members get unlimited access to books, live events, courses curated by job role, and more from O'Reilly and nearly 200 top publishers.

Amazon.com: Generative Deep Learning eBook : Foster, David: Kindle Store

Generative Deep Learning 2nd Edition, Kindle Edition. by David Foster (Author) Format: Kindle Edition. 4.5 19 ratings. See all formats and editions. Kindle. $48.99 Read with Our Free App. Paperback. $53.60 3 Used from $70.81 18 New from $51.20. Generative AI is the hottest topic in tech.

Generative Deep Learning with Python: Unleashing the Creative Power of ...

Introducing Generative Deep Learning with Python: Unleashing the Creative Power of AI - your comprehensive guide to the enchanting world of generative models. Have you ever been mesmerized by AI-created artwork, deep fake videos, or the uncanny ability of platforms like Spotify to match your music taste?

Generative Deep Learning - David Foster - Google Books

This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including...

MIT 6.S191 (2022): Deep Generative Modeling

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Deep Learning 27: (1) Generative Adversarial Network (GAN): Introduction and Back-Propagation

In this lecture introduction to generative adversarial networks (GANs) is carried out in detail. The primary focus of this lecture is on working and back-propagation process. #adversarial#generative#deeplearning

Build a Generative Adversarial Neural Network with Tensorflow and Python | Deep Learning Projects

Want to get your hands dirty building a deep learning powered GAN with Python? Well in this video you'll learn everything involved to do it from scratch using Python and Tensorflow. You'll learn how to build your very own Generative Adversarial Neural Network to generate new synthetic datasets. Get the code: ...