无需Kindle设备,下载免费Kindle阅读软件,即可在您的手机、电脑及平板电脑上畅享阅读。

  • 点击此处下载Kindle iOS阅读软件
    iPhone/iPad/Mac
  • 点击此处下载Kindle Android阅读软件
    Android手机或平板电脑

请输入您的手机号码,获取Kindle阅读软件的下载链接。

kcpAppSendButton

购买选项

Kindle电子书价格: ¥54.49

这些促销将适用于该商品:

部分促销可以同时享受;部分促销不可与其他促销同时享受。更多详情请查看促销条款。

发送至您的Kindle设备或Kindle阅读软件

发送至您的Kindle设备或Kindle阅读软件

“TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0 (English Edition)”,作者:[Holdroyd, Tony]
Kindle 应用程序广告

TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0 (English Edition) Kindle电子书

1.0 颗星,最多 5 颗星 1 条商品评论
|
分享
<分享样章>
广告
显示所有 格式和版本 隐藏其他格式和版本
亚马逊价格
全新品最低价 非全新品最低价
Kindle电子书
¥54.49

图书描述

2019年3月29日 1

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Key Features

  • Train your own models for effective prediction, using high-level Keras API
  • Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks
  • Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha

Book Description

TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks.

After giving you an overview of what's new in TensorFlow 2.0 Alpha, the book moves on to setting up your machine learning environment using the TensorFlow library. You will perform popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering.

You will get familiar with unsupervised learning for autoencoder applications. The book will also show you how to train effective neural networks using straightforward examples in a variety of different domains.

By the end of the book, you will have been exposed to a large variety of machine learning and neural network TensorFlow techniques.

What you will learn

  • Use tf.Keras for fast prototyping, building, and training deep learning neural network models
  • Easily convert your TensorFlow 1.12 applications to TensorFlow 2.0-compatible files
  • Use TensorFlow to tackle traditional supervised and unsupervised machine learning applications
  • Understand image recognition techniques using TensorFlow
  • Perform neural style transfer for image hybridization using a neural network
  • Code a recurrent neural network in TensorFlow to perform text-style generation

Who this book is for

Data scientists, machine learning developers, and deep learning enthusiasts looking to quickly get started with TensorFlow 2 will find this book useful. Some Python programming experience with version 3.6 or later, along with a familiarity with Jupyter notebooks will be an added advantage. Exposure to machine learning and neural network techniques would also be helpful.

Table of Contents

  1. Introducing TensorFlow 2
  2. Keras, a High-Level API for TensorFlow 2
  3. ANN Technologies Using TensorFlow 2
  4. Supervised Machine Learning Using TensorFlow 2
  5. Unsupervised Learning Using TensorFlow 2
  6. Recognizing Images with TensorFlow 2
  7. Neural Style Transfer Using TensorFlow 2
  8. Recurrent Neural Networks Using TensorFlow 2
  9. TensorFlow Estimators and TensorFlow Hub
  10. Converting from tf1.12 to tf2

基本信息

  • 版本: Kindle电子书
  • 文件大小: 4940 KB
  • 纸书页数: 196
  • 出版社: Packt Publishing; 1 (2019年3月29日)
  • 语种: 英语
  • ASIN: B07Q3TKTLW
  • 标准语音朗读: 已启用
  • X-Ray:
  • 生词提示功能: 未启用
  • 用户评分: 分享我的评价
  • 亚马逊热销商品排名: Kindle商店商品里排第205,044名 (查看Kindle商店商品销售排行榜)
  • 您想告诉我们您发现了更低的价格?

click to open popover

无顾客评论


评论该商品

与其他买家分享您的想法

此商品在美国亚马逊上最有用的商品评论

美国亚马逊: 1.0 颗星,最多 5 颗星 1 条评论
Yuhong Wang
1.0 颗星,最多 5 颗星the tutorials from tensorflow.org is more helpful
2019年6月7日 - 已在美国亚马逊上发表
3 个人发现此评论有用