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本资源为UART标准协议规范，对于UART开发及应用具有很大帮助。

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适合新手入门机器学习和tensorflow的最佳教程，强烈推荐。 Chapter 1: Getting Started with TensorFlow Chapter 2: The TensorFlow Way Chapter 3: Linear Regression Chapter 4: Support Vector Machines Chapter 5: Nearest Neighbor Methods Chapter 6: Neural Networks Chapter 7: Natural Language Processing Chapter 8: Convolutional Neural Networks Chapter 9: Recurrent Neural Networks Chapter 10: Taking TensorFlow to Production Chapter 11: More with TensorFlow

TensorFlow Machine Learning Cookbook by Nick McClureEnglish | 14 Feb. 2017 | ISBN: 1786462168 | 370 Pages Key FeaturesYour quick guide to implementing TensorFlow in your day-to-day machine learning activitiesLearn advanced techniques that bring more accuracy and speed to machine learningUpgrade your knowledge to the second generation of machine learning with this guide on TensorFlowBook DescriptionTensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. You'll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning – each using Google's machine learning library TensorFlow.This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP.Once you are familiar and comfortable with the TensorFlow ecosystem, the last chapter will show you how to take it to production.What you will learnBecome familiar with the basics of the TensorFlow machine learning libraryGet to know Linear Regression techniques with TensorFlowLearn SVMs with hands-on recipesImplement neural networks and improve predictionsApply NLP and sentiment analysis to your dataMaster CNN and RNN through practical recipesTake TensorFlow into productionAbout the AuthorNick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow and Caesar's Entertainment. He got his degrees in Applied Mathematics from The University of Montana and the College of Saint Benedict an

Building Machine Learning Projects with TensorFlow 英文无水印pdf pdf使用FoxitReader和PDF-XChangeViewer测试可以打开

Continuous Delivery with Docker and Jenkins 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer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 本资源转载自网络，如有侵权，请联系上传者或csdn删除