Description: Generative Deep Learning : Teaching Machines to Paint, Write, Compose, and Play, Paperback by Foster, David, ISBN 1098134184, ISBN-13 9781098134181, Like New Used, Free shipping in the US Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. Th starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. Discover how VAEs can change facial expressions in photosTrain GANs to generate images based on your own datasetBuild diffusion models to produce new varieties of flowersTrain your own GPT for text generationLearn how large language models like ChatGPT are trainedExplore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN Compose polyphonic music using Transformers and MuseGANUnderstand how generative world models can solve reinforcement learning tasksDive into multimodal models such as 2, Imagen, and Stable Diffusion This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.
Price: 58.46 USD
Location: Jessup, Maryland
End Time: 2024-11-11T23:50:51.000Z
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Book Title: Generative Deep Learning : Teaching Machines to Paint, Write, Com
Number of Pages: 453 Pages
Publication Name: Generative Deep Learning : Teaching Machines to Paint, Write, Compose, and Play
Language: English
Publisher: O'reilly Media, Incorporated
Subject: Machine Theory, Enterprise Applications / Business Intelligence Tools, Intelligence (Ai) & Semantics, Data Processing, Computer Vision & Pattern Recognition
Publication Year: 2023
Item Height: 1.1 in
Type: Textbook
Item Weight: 27.6 Oz
Author: David Foster
Subject Area: Computers
Item Length: 9.2 in
Item Width: 7 in
Format: Trade Paperback
