Deep Learning, Vol. 1 From Basics to Practice 无水印原版pdf下载

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Deep Learning, Vol. 1 From Basics to Practice 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开本资源转载自网络，如有侵权，请联系上传者或csdn删除查看此书详细信息请在美国亚马逊官网搜索此书 , 相关下载链接：https://download.csdn.net/download/u011433684/10432049?utm_source=bbsseo

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Deep Learning, Vol. 1 From Basics to Practice 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开本资源转载自网络，如有侵权，请联系上传者或csdn删除查看此书详细信息请在美国亚马逊官网搜索此书

TensorFlow For Machine Intelligence: A hands-on introduction to learning algorithms by Sam Abrahams English | 23 July 2016 | ASIN: B01IZ43JV4 | 322 Pages | AZW3/MOBI/EPUB/PDF (conv) | 26.87 MB This book is a hands-on introduction to learning algorithms. It is for people who may know a little machine learning (or not) and who may have heard about TensorFlow, but found the documentation too daunting to approach. The learning curve is gentle and you always have some code to illustrate the math step-by-step. TensorFlow, a popular library for machine learning, embraces the innovation and community-engagement of open source, but has the support, guidance, and stability of a large corporation. Because of its multitude of strengths, TensorFlow is appropriate for individuals and businesses ranging from startups to companies as large as, well, Google. TensorFlow is currently being used for natural language processing, artificial intelligence, computer vision, and predictive analytics. TensorFlow, open sourced to the public by Google in November 2015, was made to be flexible, efficient, extensible, and portable. Computers of any shape and size can run it, from smartphones all the way up to huge computing clusters. This book starts with the absolute basics of TensorFlow. We found that most tutorials on TensorFlow start by attempting to teach both machine learning concepts and TensorFlow terminology at the same time. Here we first make sure you've had the opportunity to become comfortable with TensorFlow's mechanics and core API before covering machine learning concepts.

Title: Automate the Boring Stuff with Python: Practical Programming for Total Beginners Author: Albert Sweigart Length: 504 pages Edition: 1 Language: English Publisher: No Starch Press Publication Date: 2015-05-01 ISBN-10: 1593275994 ISBN-13: 9781593275990 If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple files Create, update, move, and rename files and folders Search the Web and download online content Update and format data in Excel spreadsheets of any size Split, merge, watermark, and encrypt PDFs Send reminder emails and text notifications Fill out online forms Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks. Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python. Table of Contents Part I. Python Programming Basics Chapter 1. Python Basics Chapter 2. Flow Control Chapter 3. Functions Chapter 4. Lists Chapter 5. Dictionaries and Structuring Data Chapter 6. Manipulating Strings Part II. Automating Tasks Chapter 7. Pattern Matching with Regular Expressions Chapter 8. Reading and Writing Files Chapter 9. Organizing Files Chapter 10. Debugging Chapter 11. Web Scraping Chapter 12. Working with Excel Spreadsheets Chapter 13. Working with PDF and word Documents Chapter 14. Working with CSV Files and JSON Data Chapter 15. Keeping Time, Scheduling Tasks, and Launching Programs Chapter 16. Sending Email and Text Messages Chapter 17. Manipulating Images Chapter 18. Controlling the Keyboard and Mouse with GUI Automation Appendix A. Installing Third-Party Modules Appendix B. Running Programs Appendix C. Answers to the Practice Questions

吴恩达deeplearning.ai深度学习课程的空白作业，包括深度学习微专业五门课程的全部空白编程作业，经多方整理而来。网上找来的作业好多都是已经被别人写过的，不便于自己练习，而且很多都缺失各种数据文件，找起来费时费力。所以我特地整理了一遍，搞到全部空白作业与所有的数据文件，并上传到CSDN，欢迎下载： https://www.baidu.com/ .........

Neural Networks and Deep Learning Introduction to deep learning Neural Networks Basics Logistic Regression as a Neural Network Computation graph 神经网络的计算过程由正向传播（forward propagation ）来进行前向计...

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