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Alto V. Modern Generative AI with ChatGPT and OpenAI Models 2023 [PDF/Eng] - Printable Version

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Alto V. Modern Generative AI with ChatGPT and OpenAI Models 2023 [PDF/Eng] - Farid - 05-31-2023

[Image: nRvo2PbU_o.jpg]

Info:
  • Title: Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models
    Pages: 307
    Author: Joseph Babcock
    Year: 2021
    Subjects:
    Category: Pattern Recognition, Neural Networks, Computer Vision & Pattern Recognition
    Publisher: ‎ Packt Publishing; 1st edition
    ISBN: ‎ 1800200889

Description:
Quote:Fun and exciting projects to learn what artificial minds can create

Key Features
  • Code examples are in TensorFlow 2, which make it easy for PyTorch users to follow along
    Look inside the most famous deep generative models, from GPT to MuseGAN
    Learn to build and adapt your own models in TensorFlow 2.x
    Explore exciting, cutting-edge use cases for deep generative AI

Book Description
Machines 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 learn
  • Export the code from GitHub into Google Colab to see how everything works for yourself
    Compose music using LSTM models, simple GANs, and MuseGAN
    Create deepfakes using facial landmarks, autoencoders, and pix2pix GAN
    Learn how attention and transformers have changed NLP
    Build several text generation pipelines based on LSTMs, BERT, and GPT-2
    Implement paired and unpaired style transfer with networks like StyleGAN
    Discover emerging applications of generative AI like folding proteins and creating videos from images

Who this book is for
This 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 Contents
  • An Introduction to Generative AI: "Drawing" Data from Models
    Setting Up a TensorFlow Lab
    Building Blocks of Deep Neural Networks
    Teaching Networks to Generate Digits
    Painting Pictures with Neural Networks Using VAEs
    Image Generation with GANs
    Style Transfer with GANs
    Deepfakes with GANs
    The Rise of Methods for Text Generation
    NLP 2.0: Using Transformers to Generate Text
    Composing Music with Generative Models
    Play Video Games with Generative AI: GAIL
    Emerging Applications in Generative AI

Files:
Alto V. Modern Generative AI with ChatGPT and OpenAI Models 2023.pdf (37.42 MB)

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