Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在线电子书 图书标签: 机器学习 tensorflow Python 计算机科学 AI deeplearning keras MachineLearning
发表于2024-12-22
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
我认为这是当前最好的机器学习实践书籍,不仅有实例而且还讲明了原理,非常难得的好书。
评分Tensorflow 2.0
评分相比keras入门的那本,这本有一些中级的技术以及近两年的先进结构。我就是来找ReNet的实现的
评分干货十足
评分这2年作者又看了不少paper,很多地方甚至都改口了,Keras作者的DL的第二版预计2020年春天出版
Aurélien Géron is a machine learning consultant and trainer. A former Googler, he led YouTube's video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst (a leading Wireless ISP in France) from 2002 to 2012, and a founder and CTO of two consulting firms -- Polyconseil (telecom, media and strategy) and Kiwisoft (machine learning and data privacy).
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.
The updated edition of this best-selling book uses concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow 2—to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Practitioners will learn a range of techniques that they can quickly put to use on the job. Part 1 employs Scikit-Learn to introduce fundamental machine learning tasks, such as simple linear regression. Part 2, which has been significantly updated, employs Keras and TensorFlow 2 to guide the reader through more advanced machine learning methods using 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.
NEW FOR THE SECOND EDITION:Updated all code to TensorFlow 2Introduced the high-level Keras APINew and expanded coverage including TensorFlow’s Data API, Eager Execution, Estimators API, deploying on Google Cloud ML, handling time series, embeddings and more
With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released.
================================================== https://github.com/DeqianBai/Hands-on-Machine-Learning ================================================== 自己翻译的版本,还在更新,打开一个Jupyter 文件就可以一边学习理论,一遍进行操作验证 原书的代码示例部...
评分https://github.com/it-ebooks/hands-on-ml-zh ==========================================================================================================================================================
评分https://github.com/it-ebooks/hands-on-ml-zh ==========================================================================================================================================================
评分tensorflow的官方文档写的比较乱,这本书的出现,恰好拯救了一批想入门tf,又看不进去官方文档的人。行文非常棒,例子丰富,有助于工程实践。这本书上提到了一些理论,简单形象;但是,理论不是此书的重点,也不应是此书的重点。这本书对于机器学习小白十分友好,读完了也就差...
评分================================================== https://github.com/DeqianBai/Hands-on-Machine-Learning ================================================== 自己翻译的版本,还在更新,打开一个Jupyter 文件就可以一边学习理论,一遍进行操作验证 原书的代码示例部...
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024