Generative Deep Learning (2nd Edition)
Teaching Machines to Paint, Write, Compose, and Play
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プレミアムプラン3か月
月額99円キャンペーン開催中
¥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
このコンテンツについて
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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Introducing Python (2nd Edition)
- Modern Computing in Simple Packages
- 著者: Bill Lubanovic
- ナレーター: Derek Dysart
- 再生時間: 13 時間 3 分
- 完全版
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Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.
著者: Bill Lubanovic
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Deep Learning
- MIT Press Essential Knowledge Series
- 著者: John D. Kelleher
- ナレーター: Joel Richards
- 再生時間: 5 時間 49 分
- 完全版
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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