Fun and exciting projects to learn what artificial minds can createKey FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook DescriptionMachines are excelling at creative human skills such as painting, writing, and composing music. Could you be more creative than generative AI?In this book, you'll explore the evolution of generative models, from restricted Boltzmann machines and deep belief networks to VAEs and GANs. You'll learn how to implement models yourself in TensorFlow and get to grips with the latest research on deep neural networks.There's been an explosion in potential use cases for generative models. You'll look at Open AI's news generator, deepfakes, and training deep learning agents to navigate a simulated environment.Recreate the code that's under the hood and uncover surprising links between text, image, and music generation.What you will learnExport the code from GitHub into Google Colab to see how everything works for yourselfCompose music using LSTM models, simple GANs, and MuseGANCreate deepfakes using facial landmarks, autoencoders, and pix2pix GANLearn how attention and transformers have changed NLPBuild several text generation pipelines based on LSTMs, BERT, and GPT-2Implement paired and unpaired style transfer with networks like StyleGANDiscover emerging applications of generative AI like folding proteins and creating videos from imagesWho this book is forThis is a book for Python programmers who are keen to create and have some fun using generative models. To make the most out of this book, you should have a basic familiarity with math and statistics for machine learning.Table of ContentsAn Introduction to Generative AI: "Drawing" Data from ModelsSetting Up a TensorFlow LabBuilding Blocks of Deep Neural NetworksTeaching Networks to Generate DigitsPainting Pictures with Neural Networks Using VAEsImage Generation with GANsStyle Transfer with GANsDeepfakes with GANsThe Rise of Methods for Text GenerationNLP 2.0: Using Transformers to Generate TextComposing Music with Generative ModelsPlay Video Games with Generative AI: GAILEmerging Applications in Generative AI
✔ Author(s): Joseph Babcock,Raghav Bali
✔ Title: Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models
✔ Rating : 4.6 out of 5 base on (34 reviews)
✔ ISBN-10: 1800200889
✔ ISBN-13: 9781800200883
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
Readers' opinions about Generative AI with Python and TensorFlow 2 by Joseph Babcock
Daphne Garner
What a rollercoaster of emotions! I laughed, cried, and everything in between. The author's ability to evoke such raw feelings is truly commendable. It's a story that will stay with me forever.
Aileen Menzie
This book has reignited my passion for reading. It reminded me of the sheer joy that can be found in losing oneself in the pages of a good story. I can't wait to explore more books now.
Polly Hurlbutt
This book is a work of art. The language, the imagery, the symbolism - everything came together beautifully to create a memorable reading experience.
