104,29 €
122,69 €
Generative Deep Learning
Generative Deep Learning
104,29 €
122,69 €
  • Išsiųsime per 10–14 d.d.
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 variationa…
104.29 2025-07-06 23:59:00
  • Autorius: David Foster
  • Leidėjas:
  • Metai: 2023
  • Puslapiai: 420
  • ISBN-10: 1098134184
  • ISBN-13: 9781098134181
  • Formatas: 17.7 x 23 x 2.2 cm, minkšti viršeliai
  • Kalba: Anglų
  • Extra -15 % nuolaida šiai knygai su kodu: ENG15

Generative Deep Learning + nemokamas atvežimas! | knygos.lt

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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 deep learning
Learn about libraries such as Keras and TensorFlow
Discover how variational autoencoders work
Get practical examples of generative adversarial networks (GANs)
Understand how autoregressive generative models function
Apply generative models within a reinforcement learning setting to accomplish tasks

EXTRA 15 % nuolaida

104,29 €
122,69 €
Išsiųsime per 10–14 d.d.

Kupono kodas: ENG15

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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 deep learning
Learn about libraries such as Keras and TensorFlow
Discover how variational autoencoders work
Get practical examples of generative adversarial networks (GANs)
Understand how autoregressive generative models function
Apply generative models within a reinforcement learning setting to accomplish tasks

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