Generative Deep Learning (2nd Edition)
Teaching Machines to Paint, Write, Compose, and Play
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Audibleプレミアムプラン30日間無料体験
¥2,200 で購入
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ナレーター:
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Mike Cooper
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著者:
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David Foster
概要
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.
The book 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. You will discover how VAEs can change facial expressions in photos; train GANs to generate images based on your own dataset; build diffusion models to produce new varieties of flowers; train your own GPT for text generation; learn how large language models like ChatGPT are trained; explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN; compose polyphonic music using Transformers and MuseGAN; understand how generative world models can solve reinforcement learning tasks; and dive into multimodal models such as DALL.E 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.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2023 Applied Data Science Partners Ltd. (P)2023 Ascent Audioこちらもおすすめ
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In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.
著者: John D. Kelleher
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The Answer Is No
- A Short Story
- 著者: Fredrik Backman, Elizabeth DeNoma - translator
- ナレーター: Stacy Gonzalez
- 再生時間: 1 時間 49 分
- 完全版
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Lucas knows the perfect night entails just three things: video games, wine, and pad thai. Peanuts are a must! Other people? Not so much. Why complicate things when he’s happy alone? Then one day the apartment board, a vexing trio of authority, rings his doorbell. And Lucas’s solitude takes a startling hike. They demand to see his frying pan. Someone left one next to the recycling room overnight, and instead of removing the errant object, as Lucas suggests, they insist on finding the guilty party. But their plan backfires. Colossally.
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It’s okay I guess
- 投稿者: Ananya 日付: 2025/11/22
著者: Fredrik Backman, 、その他
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Artificial Intelligence Basics
- A Non-Technical Introduction
- 著者: Tom Taulli
- ナレーター: Al Kessel
- 再生時間: 8 時間 25 分
- 完全版
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Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact.
著者: Tom Taulli