Machine Learning with TensorFlow
暫譯: 使用 TensorFlow 的機器學習
Nishant Shukla
- 出版商: Manning
- 出版日期: 2018-02-12
- 定價: $1,530
- 售價: 6.0 折 $918
- 語言: 英文
- 頁數: 272
- 裝訂: Paperback
- ISBN: 1617293873
- ISBN-13: 9781617293870
-
相關分類:
DeepLearning、TensorFlow、Machine Learning
-
相關翻譯:
TensorFlow 機器學習 (Machine Learning with TensorFlow) (簡中版)
-
其他版本:
Machine Learning with Tensorflow, 2/e (Paperback)
買這商品的人也買了...
-
Algorithms for Reinforcement Learning (Paperback)$1,430$1,359 -
Statistical Reinforcement Learning: Modern Machine Learning Approaches (Hardcover)$4,140$3,933 -
Multi-Agent Machine Learning: A Reinforcement Approach$3,600$3,420 -
程式設計的解題策略—活用資料結構與演算法$550$435 -
Embedded Linux Systems with the Yocto Project (Prentice Hall Open Source Software Development)(Hardcover)$1,980$1,881 -
Special Edition Data Science Interview Questions Solved in Python and Spark: with Deep Learning and Reinforcement Learning bonus topics in Keras (Paperback)$1,410$1,340 -
$301神經網絡與深度學習 -
$990Hands-On Machine Learning with Scikit-Learn and TensorFlow (Paperback) -
$352面向機器智能的 TensorFlow 實踐 -
$749Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms (Paperback) -
$1,184Mastering Machine Learning with scikit-learn, 2/e (Paperback) -
提升程式設計的資料結構力｜國際程式設計競賽之資料結構原理、題型、解題技巧與重點解析, 2/e$580$458 -
Deep Learning with Python (Paperback)$1,670$1,587 -
Practical Reinforcement Learning$1,570$1,492 -
$1,960Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python -
$403深入淺出強化學習 : 原理入門 -
$232區塊鏈技術與應用 -
$564神經網絡設計 (Neural Network Design, 2/e) -
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch$1,540$1,463 -
$607深度學習核心技術與實踐 -
$2,083TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning -
Introduction to Machine Learning with R: Rigorous Mathematical Analysis (Paperback)$1,900$1,805 -
Artificial Unintelligence: How Computers Misunderstand the World (MIT Press)$880$836 -
$1,200Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras -
$1,280Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
相關主題
商品描述
Being able to make near-real-time decisions is becoming increasingly crucial. To succeed, we need machine learning systems that can turn massive amounts of data into valuable insights. But when you're just starting out in the data science field, how do you get started creating machine learning applications? The answer is TensorFlow, a new open source machine learning library from Google. The TensorFlow library can take your high level designs and turn them into the low level mathematical operations required by machine learning algorithms.
Machine Learning with TensorFlow teaches readers about machine learning algorithms and how to implement solutions with TensorFlow. It starts with an overview of machine learning concepts and moves on to the essentials needed to begin using TensorFlow. Each chapter zooms into a prominent example of machine learning. Readers can cover them all to master the basics or skip around to cater to their needs. By the end of this book, readers will be able to solve classification, clustering, regression, and prediction problems in the real world.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
商品描述(中文翻譯)
能夠進行近乎即時的決策變得越來越重要。要成功，我們需要能夠將大量數據轉化為有價值見解的機器學習系統。但是，當你剛開始進入數據科學領域時，該如何開始創建機器學習應用程式呢？答案是 TensorFlow，這是 Google 推出的一個新的開源機器學習庫。TensorFlow 庫可以將你的高階設計轉化為機器學習算法所需的低階數學運算。
使用 TensorFlow 的機器學習 教導讀者有關機器學習算法及如何使用 TensorFlow 實現解決方案。它從機器學習概念的概述開始，然後進入開始使用 TensorFlow 所需的基本知識。每一章都聚焦於一個突出的機器學習範例。讀者可以全部閱讀以掌握基礎，或根據自己的需求選擇性跳讀。到本書結束時，讀者將能夠解決現實世界中的分類、聚類、回歸和預測問題。
購買印刷版書籍可獲得 Manning Publications 提供的免費 PDF、Kindle 和 ePub 格式電子書。
