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Can I read Generative Deep Learning : Teaching Machines to Paint, Write, Compose, and Play on EtoBox?
Generative Deep Learning : Teaching Machines to Paint, Write, Compose, and Play by David Foster, Applied Data Science is a science book available to read on EtoBox.
What is Generative Deep Learning : Teaching Machines to Paint, Write, Compose, and Play about?
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 archit
Who reads Generative Deep Learning : Teaching Machines to Paint, Write, Compose, and Play?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- David Foster, Applied Data Science
- Publisher
- O'Reilly Media, Incorporated
- Published
- 2019
- Language
- EN
- ISBN
- 9781492041917
- Category
- science
- Subjects
- Science, Computer Science, Stem
- Rating
- 4.5 / 5 (215 ratings)
- Updated
- 2026-03-14
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