TensorFlow Machine Learning Cookbook (Paperback)

Nick McClure

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商品描述

Key Features

  • Your quick guide to implementing TensorFlow in your day-to-day machine learning activities
  • Learn advanced techniques that bring more accuracy and speed to machine learning
  • Upgrade your knowledge to the second generation of machine learning with this guide on TensorFlow

Book Description

TensorFlow 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 learn

  • Become familiar with the basics of the TensorFlow machine learning library
  • Get to know Linear Regression techniques with TensorFlow
  • Learn SVMs with hands-on recipes
  • Implement neural networks and improve predictions
  • Apply NLP and sentiment analysis to your data
  • Master CNN and RNN through practical recipes
  • Take TensorFlow into production

About the Author

Nick 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 and Saint John's University.

He has a passion for learning and advocating for analytics, machine learning, and artificial intelligence. Nick occasionally puts his thoughts and musings on his blog, http://fromdata.org/, or through his Twitter account, @nfmcclure.

Table of Contents

  1. Getting Started with TensorFlow
  2. The TensorFlow Way
  3. Linear Regression
  4. Support Vector Machines
  5. Nearest Neighbor Methods
  6. Neural Networks
  7. Natural Language Processing
  8. Convolutional Neural Networks
  9. Recurrent Neural Networks
  10. Taking TensorFlow to Production
  11. More with TensorFlow

商品描述(中文翻譯)

主要特點


  • 快速指南,教你如何在日常機器學習活動中使用TensorFlow

  • 學習帶來更高準確度和速度的高級技術

  • 通過這本TensorFlow指南,升級你的機器學習知識到第二代

書籍描述

TensorFlow是一個開源的機器智能軟件庫。本書中的獨立範例將教你如何使用TensorFlow進行複雜的數據計算,讓你對數據有更深入的洞察力。你將通過這本書學習使用Google的機器學習庫TensorFlow進行模型訓練、模型評估、情感分析、回歸分析、聚類分析、人工神經網絡和深度學習等技術。

本指南從TensorFlow庫的基礎知識開始,包括變量、矩陣和各種數據源。接下來,你將親自體驗使用TensorFlow進行線性回歸技術。接下來的章節涵蓋了重要的高級概念,如神經網絡、卷積神經網絡、循環神經網絡和自然語言處理。

一旦你熟悉並熟練掌握了TensorFlow生態系統,最後一章將向你展示如何將其應用於生產環境。

你將學到什麼


  • 熟悉TensorFlow機器學習庫的基礎知識

  • 了解使用TensorFlow進行線性回歸技術

  • 通過實踐範例學習支持向量機

  • 實現神經網絡並提高預測準確度

  • 將自然語言處理和情感分析應用於數據

  • 通過實踐範例掌握卷積神經網絡和循環神經網絡

  • 將TensorFlow應用於生產環境

關於作者

Nick McClure目前是位於華盛頓州西雅圖的PayScale公司的高級數據科學家。在此之前,他曾在Zillow和Caesar's Entertainment工作。他在蒙大拿大學和聖本篤和聖約翰大學獲得應用數學學位。

他熱衷於學習和倡導分析、機器學習和人工智能。Nick偶爾會在他的博客http://fromdata.org/或通過他的Twitter帳號@nfmcclure上發表他的想法和思考。

目錄


  1. TensorFlow入門

  2. TensorFlow的方式

  3. 線性回歸

  4. 支持向量機

  5. 最近鄰方法

  6. 神經網絡

  7. 自然語言處理

  8. 卷積神經網絡

  9. 循環神經網絡

  10. 將TensorFlow應用於生產環境

  11. 更多TensorFlow