Generative Deep Learning with Python: Unleashing the Creative Power of AI by Mastering AI and Python
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Generative Deep Learning with Python: Unleashing the Creative Power of AI by Mastering AI and Python
34.99 In Stock
Generative Deep Learning with Python: Unleashing the Creative Power of AI by Mastering AI and Python

Generative Deep Learning with Python: Unleashing the Creative Power of AI by Mastering AI and Python

by Cuantum Technologies LLC
Generative Deep Learning with Python: Unleashing the Creative Power of AI by Mastering AI and Python

Generative Deep Learning with Python: Unleashing the Creative Power of AI by Mastering AI and Python

by Cuantum Technologies LLC

eBook

$34.99 

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Product Details

ISBN-13: 9781836207122
Publisher: Packt Publishing
Publication date: 06/12/2024
Sold by: Barnes & Noble
Format: eBook
Pages: 276
File size: 8 MB

About the Author

Cuantum Technologies is a leading innovator in the realm of software development and education, with a special focus on leveraging the power of Artificial Intelligence and cutting-edge technology. They specialize in web-based software development, authoring insightful programming and AI literature, and building captivating web experiences with the intricate use of HTML, CSS, JavaScript, and Three.js. Their diverse array of products includes CuantumAI, a pioneering SaaS offering, and an array of books spanning from Python, NLP, PHP, JavaScript, and beyond. Through their services, they are constantly striving to demystify AI and technology, making it accessible, understandable, and useable for all.

Table of Contents

Table of Contents
  1. Introduction to Deep Learning
  2. Understanding Generative Models
  3. Deep Dive into Generative Adversarial Networks (GANs)
  4. Project: Face Generation with GANs
  5. Exploring Variational Autoencoders (VAEs)
  6. Project: Handwritten Digit Generation with VAEs
  7. Understanding Autoregressive Models
  8. Project: Text Generation with Autoregressive Models
  9. Advanced Topics in Generative Deep Learning
  10. Navigating the Future Landscape of Generative Deep Learning
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