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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

Online pdf ebook 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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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. How to Generate Music using a LSTM Neural Network in Keras
A recurrent neural network is a class of artificial neural networks that make use of It allows us to teach the fundamentals of music theory, generate music then followed by a rest period where no note is played for a short while. .. we use the write function in the Music21 toolkit to write the stream to a file. Generative Deep Learning - Teaching Machines to Paint, Write
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play (Paperback) / Author: David Foster ; 9781492041948 ; Computer vision,  autoencoders - Prime Eligible - Amazon.com
Results 1 - 16 of 23 Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and  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.