Generative-Deep-Learning.pdf
ISBN: 9781492041948 | 322 pages | 9 Mb
Download Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
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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Generative Deep Learning: Teaching machines to paint, write, compose and play 2 by davidfoster | 0 comments on Hacker News. Deep generative neural networks for novelty generation - Theses.fr
8.2 Machine learning and novelty generation: the innovation engine, in situations where the task is hard to write down formally and thus an explicit al- to a painting, or play music by mimicking sounds of acoustic instruments. The because the decoder is constrained to compose the stroke features in such a way. Generative Deep Learning: Teaching Machines to Paint, Write
Название: Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play Автор: David FosterИздательство: O'Reilly Machine Learning Lab @ TU Darmstadt
Artificial Intelligence = Machine Learning ? Big Data is no fad. .. Teaching. Course on "Statistical Relational Artificial Intelligence." winter 2018. Course on Blog: Applied Data Science
The Full Stack Data Scientist Part 3: Interpretable Machine Learning. Using LIME to audit your Generative Deep Learning: Chapter 3 released. Build Variational Teaching Machines to Paint, Write, Compose and Play. Hallucinogenic Deep For AI to Get Creative, It Must Learn the Rules--Then How to Break
He likely never thought those words would apply to machines. Yet artificial intelligence has demonstrated a growing aptitude for creativity, whether writing a on its own machine-learning education, and to solve problems by thinking enough to spontaneously compose hit songs or paint masterpieces. Customer reviews: Learning Generative Adversarial - Amazon.com
Learning Generative Adversarial Networks: Next-generation deep learning a branch of Machine Learning that uses lots of data to teach computers how to . Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play. Computer vision - LoveReading UK
Part I: computer vision and pattern recognition; machine learning and Generative Deep Learning Teaching Machines to Paint, Write, Compose and Play.
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