Hands-on Machine Learning with Scikit-Learn, Keras, and Tens (Paperback)
 
作者: Aurelien Geron 
書城編號: 1490345

原價: HK$750.00
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出版社: O'Reilly Media
出版日期: 2019/10/15
尺寸: 233x178x48mm
重量: 1.27 kg
ISBN: 9781492032649

商品簡介


Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.

By using concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow--author Aur lien G ron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started.

  • Explore the machine learning landscape, particularly neural nets
  • Use Scikit-Learn to track an example machine-learning project end-to-end
  • Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
  • Use the TensorFlow library to build and train neural nets
  • Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
  • Learn techniques for training and scaling deep neural nets
Aurelien Geron 作者作品表

eBook: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (DRM EPUB)

eBook: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (DRM PDF)

精通機器學習|使用Scikit-Learn, Keras與TensorFlow 第二版

Hands-on Machine Learning with Scikit-Learn, Keras, and Tens (Paperback)

Hands-On Machine Learning with Scikit-Learn and TensorFlow (Paperback)

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