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

About the Author

Joseph Babcock has spent more than a decade working with big data and AI in the e-commerce, digital streaming, and quantitative finance domains. Through his career he has worked on recommender systems, petabyte scale cloud data pipelines, A/B testing, causal inference, and time series analysis. He completed his PhD studies at Johns Hopkins University, applying machine learning to the field of drug discovery and genomics. Raghav Bali is an author of multiple well received books and a Senior Data Scientist at one of the world’s largest healthcare organizations. His work involves research and development of enterprise-level solutions based on Machine Learning, Deep Learning, and Natural Language Processing for Healthcare and Insurance-related use cases. His previous experiences include working at Intel and American Express. Raghav has a master’s degree (gold medalist) from the International Institute of Information Technology, Bangalore.

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