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

Generative-Deep-Learning-Teaching.pdf
ISBN: 9781492041948 | 322 pages | 9 Mb

• Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
• David Foster
• Page: 322
• Format: pdf, ePub, fb2, mobi
• ISBN: 9781492041948
• Publisher: O'Reilly Media, Incorporated

Download Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

Text book fonts free download Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play (English literature) by David Foster CHM FB2

Generative modeling is one of the hottest topics in artificial intelligence. Recent advances in the field have shown how it’s possible to teach a machine to excel at human endeavors—such as drawing, composing music, and completing tasks—by generating an understanding of how its actions affect its environment. With this practical book, machine learning engineers and data scientists will learn how to recreate some of the most famous examples of generative deep learning models, such as variational autoencoders and generative adversarial networks (GANs). You’ll also learn how to apply the techniques to your own datasets. David Foster, cofounder of Applied Data Science, demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to the most cutting-edge algorithms in the field. Through tips and tricks, you’ll learn how to make your models learn more efficiently and become more creative. Get a fundamental overview of generative modeling Learn how to use the Keras and TensorFlow libraries for deep learning Discover how variational autoencoders (VAEs) work Get practical examples of generative adversarial networks (GANs) Understand how to build generative models that learn how to paint, write, and compose Apply generative models within a reinforcement learning setting to accomplish tasks

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With this practical book, machine learning engineers and data scientists will learn how to Understand how to build generative models that learn how to paint, write, and compose Teaching Machines to Paint, Write, Compose and Play · 5. Generative Adversarial Networks Cookbook: Over 100 recipes to
Generative Adversarial Networks Cookbook: Over 100 recipes to build Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play. Generative Deep Learning - Teaching Machines To Paint, Write
Generative Deep Learning - Teaching Machines To Paint, Write, Compose, And Play Generative modeling is one of the hottest topics in artificial intelligence. Applied Data Science on Twitter: "Exciting news - our new book
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Machine Learning with Python Cookbook: Practical Solutions from .. Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play. What Are GANs? | Manning
Generative Adversarial Networks and their Potential Teaching Computers Creativity. One of the most exciting chapters in machine learning began in one of recognition[1] and defeating the world's top human player in a game of Go. set—for example, if we want a GAN to paint like Leonardo da Vinci,  arXiv:1903.04411v2 [cs.CV] 22 Mar 2019
compose texture-rich images into strokes and make long- term plans. studied in teaching machines to learn painting-related skills, such as 

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