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Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play (Paperback)
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Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play (Paperback)
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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 architecture of the Transformer (BERT, GPT-2)
and image generation models such as ProGAN and StyleGAN
General
Imprint: |
O'Reilly Media
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Country of origin: |
United States |
Release date: |
July 2019 |
Authors: |
David Foster
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Dimensions: |
233 x 178 x 19mm (L x W x T) |
Format: |
Paperback
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Pages: |
350 |
ISBN-13: |
978-1-4920-4194-8 |
Categories: |
Books >
Computing & IT >
General
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LSN: |
1-4920-4194-7 |
Barcode: |
9781492041948 |
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