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Generative Deep Learning : Teaching Machines to Paint, Write, Compose, and Pl...

Description: Generative Deep Learning : Teaching Machines to Paint, Write, Compose, and Play, Paperback by Foster, David, ISBN 1098134184, ISBN-13 9781098134181, Brand New, 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.

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End Time: 2024-03-11T14:57:49.000Z

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Generative Deep Learning : Teaching Machines to Paint, Write, Compose, and Pl...

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Book Title: Generative Deep Learning : Teaching Machines to Paint, Write, Com

Item Length: 9.2in

Item Height: 1.1in

Item Width: 7in

Author: David Foster

Publication Name: Generative Deep Learning : Teaching Machines to Paint, Write, Compose, and Play

Format: Trade Paperback

Language: English

Publisher: O'reilly, Incorporated

Publication Year: 2023

Type: Textbook

Item Weight: 27.6 Oz

Number of Pages: 453 Pages

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