MARC状态：审校 文献类型：中文图书 浏览次数：63
- 题名/责任者:
- Hands-on machine learning with Scikit-Learn & TensorFlow = Scikit-Learn与TensorFlow机器学习实用指南 / Aurélien Géron著.
- 出版发行项:
- 南京 : 东南大学出版社, 2017.
- ISBN:
- 9787564173715
- 载体形态项:
- xx, 543 pages : illustrations ; 24 cm
- 个人责任者:
- Géron, Aurélien, author.
- 论题主题:
- Machine learning.
- 论题主题:
- Artificial intelligence.
- 中图法分类号:
- TP181
- 书目附注:
- Includes bibliographical references and index.
- 内容附注:
- The fundamentals of machine learning. The machine learning landscape ; End-to-end machine learning project ; Classification ; Training models ; Support vector machines ; Decision trees ; Ensemble learning and random forests ; Dimensionality reduction -- Neural networks and deep learning. Up and running with TensorFlow ; Introduction to artificial neural networks ; Training deep neural nets ; Distributing TensorFlow across devices and servers ; Convolutional neural networks ; Recurrent neural networks ; Autoencoders ; Reinforcement learning -- Exercise solutions -- Machine learning project checklist -- SVM dual problem -- Autodiff -- Other popular ANN architectures.
- 摘要附注:
- 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.
- 原版附注:
- Reprint. Originally published: Sebastopol, CA : O'Reilly Media, 2017. 9781491962299 (pbk.)
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