Skip to content
Welcome To Our Store.
100,000+ Products for Home, Medical, Office & Classroom Needs
Search
Skip to product information
1 of 1

Python for Generative AI: Practical Techniques, Applications, and Code Examples - Paperback

$18.88 USD
$18.88 USD
Sale Sold out
Shipping calculated at checkout.
In stock (100 units), ready to be shipped

Available Offers

Fastest Delivery Tomorrow With Vip DealOrder within 1 hr 8 mins.

Instant 10% Discount On HDFC Banks Credit/Debit Cards EMI and CreditCard

Secure checkout with
  • American Express
  • Apple Pay
  • Diners Club
  • Discover
  • Google Pay
  • Mastercard
  • PayPal
  • Shop Pay
  • Visa
  • Daily deals
  • Return policy
  • Payment method
  • Help center 24/7

Flight Range: Up to 1,000 meters (3,280 feet)

Maximum Speed: 45 kilometers per hour (28 miles per hour)

For all orders exceeding a value of 100USD shipping is offered for free.

Returns will be accepted for up to 10 days of Customer’s receipt or tracking number on unworn items. You, as a Customer, are obliged to inform us via email before you return the item.

Otherwise, standard shipping charges apply. Check out our delivery Terms & Conditions for more details.

View Product Details
Shopping cart
Product Product subtotal Quantity Price Product subtotal
Python for Generative AI: Practical Techniques, Applications, and Code Examples - Paperback
Python for Generative AI: Practical Techniques, Applications, and Code Examples - Paperback
Python for Generative AI: Practical Techniques, Applications, and Code Examples - Paperback
$18.88/ea
$0.00
$18.88/ea $0.00

Product Description

by Anand Vemula (Author)

"Python for Generative AI: Practical Techniques, Applications, and Code Examples" is a comprehensive guide that equips readers with the essential skills and knowledge to harness the power of Python in the exciting field of generative artificial intelligence (AI). From foundational concepts to advanced techniques, this book provides a hands-on approach to understanding and implementing generative AI models using Python.

The book begins with an introduction to the principles of generative AI, laying the groundwork for readers to grasp key concepts such as neural networks, generative models, and deep learning. Through clear explanations and practical examples, readers learn how to leverage Python libraries such as TensorFlow, PyTorch, and Keras to build and train various types of generative models.

Throughout the book, readers are guided through real-world applications and use cases of generative AI, including image generation and editing, text generation and natural language processing, music and audio synthesis, and video generation and editing. Each chapter is accompanied by code examples and demonstrations, allowing readers to follow along and implement the techniques discussed.

The book also covers advanced topics such as conditional generative models, StyleGAN and advanced GAN variants, enhancements and improvements in variational autoencoders (VAEs), and training and optimization techniques. Readers learn how to apply data augmentation techniques, perform hyperparameter tuning, debug and improve model performance, and evaluate generative models using qualitative and quantitative metrics.

In addition to technical skills, the book addresses ethical considerations, legal and regulatory aspects, and provides case studies and real-world projects showcasing the diverse applications of generative AI across industries. With its practical approach and emphasis on code examples, "Python for Generative AI: Practical Techniques, Applications, and Code Examples" serves as a valuable resource for students, researchers, and practitioners looking to explore and master the exciting field of generative AI using Python.
Number of Pages: 46
Dimensions: 0.1 x 9 x 6 IN
Publication Date: May 29, 2024
you might like