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

Ebooks spanish free download Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play by David Foster


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

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Ebooks spanish free download Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play by David Foster

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

Hands-On Unsupervised Learning Using Python: How to Build
Many industry experts consider unsupervised learning the next frontier in Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, .. Restricted Boltzmann Machines, Deep Belief Networks and Generative . Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play. GANs from Scratch 1: A deep introduction. With code in PyTorch and
In this blog post we will explore Generative Adversarial Networks Output of a GAN through time, learning to Create Hand-written digits. AI that uses data to “ teach” a machine/program how to perform a new task. For this purpose, we can describe Machine Learning as applied . compose = transforms. Artistic Creativity in Artificial Intelligence
Exploratory Creativity and Machine Learning: Aaron, the Painter . The Turing Test result for the poem, The Saxophone Player . . . . . . . . . . . . 32. 2.5. Painting by AARON, computer program designed by Harold Cohen . . generativeart of producing computer programs that can draw pictures, write poems, compose  autoencoders - Prime Eligible - Amazon.com
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