Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
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Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
Nº de artículo: 13014789

Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy

81% of respondents would recommend this to a friend

Nº de artículo: 13014789

UYU 2781

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What Stands Out

Practical Application
This book focuses on real-world applications of GANs and deep learning algorithms, making complex concepts accessible and practical for readers eager to integrate advanced techniques into their projects.
Comprehensive Coverage
It offers a thorough exploration of current deep learning advancements, ensuring readers are well-versed in both foundational and cutting-edge algorithms necessary for mastering Keras in dynamic environments.
Expert Insights
Authored by industry experts, the text provides authoritative insights and best practices, allowing readers to learn from seasoned professionals and apply proven strategies to their own deep learning endeavors.

Detalles de producto

Explore the world of deep learning with Keras. Apply techniques like autoencoders, GANs, reinforcement learning, and more. Shop now at Ubuy Uruguay.
Publisher Packt Publishing
Publication date October 31, 2018
Language English
Print length 298 pages
ISBN-10 1788629418
ISBN-13 978-1788629416
Item Weight 1.39 pounds (630 grams)
Dimensions 7.5 x 0.83 x 9.25 inches (19.1 x 2.1 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to enhance their skills in applying advanced deep learning algorithms effectively using Keras.

  • Machine Learning Engineers

    Beneficial for machine learning engineers wanting to implement Generative Adversarial Networks (GANs) and other algorithms in projects.

  • AI Researchers

    Useful for AI researchers who need up-to-date techniques and methods for deep learning and practical applications.

Not Suitable For
  • Beginners

    Not suitable for beginners without a foundational understanding of machine learning concepts and Python programming.

DESCRIPCIÓN DEL PRODUCTO

Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

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Intelligence & Semantics Editorial Review

The "Advanced Deep Learning with Keras" book has received positive reviews for its blend of code, mathematics, and explanations. It is praised for its practical application in deep learning, acknowledging the latest capabilities and addressing a critical knowledge gap in the community. The author's expertise in GANs and Auto-encoders is highlighted, making the survey of the current state of the art invaluable. The book is commended for covering advanced topics such as Improved and Disentangled GANs and Policy Gradient methods, making it a unique reference resource for building various applications.

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ventajas

  • Good blend of code, mathematics, and explanations
  • Practical applications in deep learning
  • Author's expertise in GANs and Auto-encoders
  • Coverage of advanced topics such as Improved and Disentangled GANs and Policy Gradient methods

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UYU 2781

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