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Generative Deep Learning. Teaching Machines to Paint, Write, Compose, and Play (ebook)(audiobook)(audiobook)Książka w języku angielskim

Autor:
David Foster
Okładka książki/ebooka Generative Deep Learning. Teaching Machines to Paint, Write, Compose, and Play

Okładka książki Generative Deep Learning. Teaching Machines to Paint, Write, Compose, and Play

Okładka książki Generative Deep Learning. Teaching Machines to Paint, Write, Compose, and Play

Okładka książki Generative Deep Learning. Teaching Machines to Paint, Write, Compose, and Play

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
330
2w1 w pakiecie:
     ePub
     Mobi

Ebook

229,00 zł
194,65 zł

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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
0 David Foster

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