Hands-On Deep Learning for Images with Tensorflow

Will Ballard

  • 出版商: Packt Publishing
  • 出版日期: 2018-07-31
  • 定價: $900
  • 售價: 8.0$720
  • 語言: 英文
  • 頁數: 96
  • 裝訂: Paperback
  • ISBN: 178953867X
  • ISBN-13: 9781789538670
  • 相關分類: DeepLearningTensorFlow
  • 立即出貨 (庫存=1)

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商品描述

Explore TensorFlow's capabilities to perform efficient deep learning on images

Key Features

  • Discover image processing for machine vision
  • Build an effective image classification system using the power of CNNs
  • Leverage TensorFlow's capabilities to perform efficient deep learning

Book Description

TensorFlow is Google's popular offering for machine learning and deep learning, quickly becoming a favorite tool for performing fast, efficient, and accurate deep learning tasks.

Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations of real-world projects, teaching you how to leverage TensorFlow's capabilities to perform efficient image processing using the power of deep learning. With the help of this book, you will get to grips with the different paradigms of performing deep learning such as deep neural nets and convolutional neural networks, followed by understanding how they can be implemented using TensorFlow.

By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow and Keras.

What you will learn

  • Build machine learning models particularly focused on the MNIST digits
  • Work with Docker and Keras to build an image classifier
  • Understand natural language models to process text and images
  • Prepare your dataset for machine learning
  • Create classical, convolutional, and deep neural networks
  • Create a RESTful image classification server

Who this book is for

Hands-On Deep Learning for Images with TensorFlow is for you if you are an application developer, data scientist, or machine learning practitioner looking to integrate machine learning into application software and master deep learning by implementing practical projects in TensorFlow. Knowledge of Python programming and basics of deep learning are required to get the best out of this book.

Table of Contents

  1. Machine Learning Toolkit
  2. Image Data
  3. Classic Neural Network
  4. Convulutional Neural Network
  5. Image Classification Server

商品描述(中文翻譯)

探索TensorFlow在圖像上進行高效深度學習的能力

主要特點
- 探索機器視覺的圖像處理
- 利用CNN的強大功能構建有效的圖像分類系統
- 利用TensorFlow的能力進行高效深度學習

書籍描述
TensorFlow是Google提供的機器學習和深度學習工具,迅速成為執行快速、高效和準確的深度學習任務的首選工具。

《使用TensorFlow進行圖像深度學習實踐》展示了實際項目的實現,教授如何利用TensorFlow的能力進行高效圖像處理,並利用深度學習的力量。通過本書的幫助,您將熟悉執行深度學習的不同範例,如深度神經網絡和卷積神經網絡,並了解如何使用TensorFlow實現它們。

通過本書,您將掌握深度學習的所有概念以及在TensorFlow和Keras中的實現。

您將學到什麼
- 構建特別針對MNIST數字的機器學習模型
- 使用Docker和Keras構建圖像分類器
- 理解處理文本和圖像的自然語言模型
- 為機器學習準備數據集
- 創建經典、卷積和深度神經網絡
- 創建一個RESTful圖像分類伺服器

本書適合對象
《使用TensorFlow進行圖像深度學習實踐》適合應用程式開發人員、數據科學家或機器學習從業者,他們希望將機器學習整合到應用軟體中,並通過在TensorFlow中實施實際項目來掌握深度學習。需要具備Python編程和深度學習基礎知識,以獲得本書的最佳效果。

目錄
1. 機器學習工具包
2. 圖像數據
3. 經典神經網絡
4. 卷積神經網絡
5. 圖像分類伺服器