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Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models
Explore the evolution of generative models and learn how to implement models yourself in TensorFlow 2.x.
Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models
Item #: 34788511

Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

Item #: 34788511

BDT 7962

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Explore the evolution of generative models and learn how to implement models yourself in TensorFlow 2.x.
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What Stands Out

Comprehensive Coverage
This product offers an extensive exploration of generative AI techniques, including VAEs, GANs, LSTMs, and Transformers, ensuring users gain a well-rounded understanding of cutting-edge AI applications using Python and TensorFlow 2.
Hands-On Learning
The course is designed for practical learning, empowering users to create real-world applications in image, text, and music generation, thereby enhancing their portfolio and demonstrating skills in generative AI projects.
Expert Guidance
Led by experienced instructors, this resource provides insights into best practices and optimization techniques, equipping learners with the knowledge to traverse the complexities of generative AI successfully.

Product Details

Explore the power of Generative AI with Python and TensorFlow 2. Learn to create stunning images, engaging text, and captivating music using VAEs, GANs, LSTMs, and Transformer models. Shop now at Ubuy Bangladesh.
  • Learn to create images, text, and music using Generative AI with Python
  • Utilize TensorFlow 2 for implementing VAEs, GANs, LSTMs, and Transformer models
  • Gain insights into Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)
  • Understand the applications of LSTM and Transformer models in generative AI
  • Explore the process of generating diverse media content with Python and TensorFlow 2
  • Develop practical skills in creating art, music, and generating text using Generative AI
Publisher Packt Publishing
Publication date April 30, 2021
Language English
Print length 488 pages
ISBN-10 1800200889
ISBN-13 978-1800200883
Item Weight 1.83 pounds (830 grams)
Dimensions 7.5 x 1.1 x 9.25 inches (19.1 x 2.8 x 23.5 cm)

Who Should Buy?

Suitable For
  • AI Enthusiasts

    Ideal for individuals interested in exploring generative AI concepts and applications using modern frameworks and techniques.

  • Developers

    Great for software developers aiming to integrate generative AI into their projects or enhance machine learning skills.

  • Students

    Beneficial for students studying AI or data science, offering practical insights into building generative models.

Not Suitable For
  • Beginners

    Not suitable for absolute beginners lacking foundational knowledge in Python or machine learning concepts.

Product Description

Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

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Intelligence & Semantics Editorial Review

The book "Generative AI with Python and TensorFlow 2" offers a comprehensive guide for creating images, text, and music using various generative AI techniques such as VAEs, GANs, LSTMs, and Transformer models. The content of the book is described as promising and interesting, providing detailed codes for those who want to have a hands-on experience. Although the book received positive feedback for its promising content and detailed codes, there are also a few negative reviews. One customer stated that the book seemed hastily written, without proper proofreading or review. This suggests that there may be some errors or lack of clarity in the text. Additionally, another customer mentioned that the book contained factual errors, which could be a concern for readers seeking accurate information. Despite these concerns, the overall customer experience with "Generative AI with Python and TensorFlow 2" appears to be positive. Readers interested in exploring generative AI techniques may find value in the book's detailed instructions and informative content.

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Pros

  • Promising and interesting content
  • Detailed codes for a hands-on experience

Cons

  • Potential lack of proofreading and review

Product Price History

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