Deep Learning with Python (Third Edition)
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Deep Learning with Python (Third Edition)
￥3,700 で購入
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ナレーター：
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Christopher Kendrick
このコンテンツについて
The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.
In Deep Learning with Python (Third Edition) you’ll discover:
- Deep learning from first principles
- The latest features of Keras 3
- A primer on JAX, PyTorch, and TensorFlow
- Image classification and image segmentation
- Time series forecasting
- Large Language models
- Text classification and machine translation
- Text and image generation—build your own GPT and diffusion models!
- Scaling and tuning models
With over 100,000 copies sold, Deep Learning with Python makes it possible for developers, data scientists, and machine learning enthusiasts to put deep learning into action. In this expanded and updated third edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners.
About the book:
Deep Learning with Python (Third Edition) makes the concepts behind deep learning and generative AI understandable and approachable. This complete rewrite of the bestselling original includes fresh chapters on transformers, building your own GPT-like LLM, and generating images with diffusion models. Each chapter introduces practical projects and code examples that build your understanding of deep learning, layer by layer.
About the listener:
For listeners with intermediate Python skills. No previous experience with machine learning or linear algebra required.
About the authors:
François Chollet is the co-founder of Ndea and the creator of Keras. Matthew Watson is a software engineer at Google working on Gemini and a core maintainer of Keras.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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