请选择 进入手机版 | 继续访问电脑版
楼主: 酒足饭饱
1883 5

[其他] Hands-On Deep Learning with TensorFlow, AZW3版 [推广有奖]

  • 2关注
  • 8粉丝

讲师

67%

还不是VIP/贵宾

-

威望
0
论坛币
7171 个
通用积分
464.6522
学术水平
19 点
热心指数
19 点
信用等级
19 点
经验
53350 点
帖子
400
精华
0
在线时间
724 小时
注册时间
2005-4-6
最后登录
2023-2-16

酒足饭饱 发表于 2017-8-17 14:43:19 |显示全部楼层 |坛友微信交流群
相似文件 换一批

+2 论坛币
k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群
赵安豆老师微信:zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

感谢您参与论坛问题回答

经管之家送您两个论坛币!

+2 论坛币
Hands-On Deep Learning with TensorFlow
51RGsnWQrrL__SL200_.jpg


Key Features
•Explore various possibilities with deep learning and gain amazing insights from data using Google's brainchild-- TensorFlow
•Want to learn what more can be done with deep learning? Explore various neural networks with the help of this comprehensive guide
•Rich in concepts, advanced guide on deep learning that will give you background to innovate in your environment

Book Description

Dan Van Boxel's Deep Learning with TensorFlow is based on Dan's best-selling TensorFlow video course. With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. Dan Van Boxel will be your guide to exploring the possibilities with deep learning; he will enable you to understand data like never before. With the efficiency and simplicity of TensorFlow, you will be able to process your data and gain insights that will change how you look at data.

With Dan's guidance, you will dig deeper into the hidden layers of abstraction using raw data. Dan then shows you various complex algorithms for deep learning and various examples that use these deep neural networks. You will also learn how to train your machine to craft new features to make sense of deeper layers of data.

In this book, Dan shares his knowledge across topics such as logistic regression, convolutional neural networks, recurrent neural networks, training deep networks, and high level interfaces. With the help of novel practical examples, you will become an ace at advanced multilayer networks, image recognition, and beyond.

What you will learn
•Set up your computing environment and install TensorFlow
•Build simple TensorFlow graphs for everyday computations
•Apply logistic regression for classification with TensorFlow
•Design and train a multilayer neural network with TensorFlow
•Intuitively understand convolutional neural networks for image recognition
•Bootstrap a neural network from simple to more accurate models
•See how to use TensorFlow with other types of networks
•Program networks with SciKit-Flow, a high-level interface to TensorFlow

About the Author

Dan Van Boxel is a data scientist and machine learning engineer with over 10 years of experience. He is most well-known for Dan Does Data, a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research articles and presented findings at the Transportation Research Board and other academic journals.

Table of Contents

Chapter 1. Getting Started
Chapter 2. Deep Neural Networks
Chapter 3. Convolutional Neural Networks
Chapter 4. Recurrent Neural Networks
Chapter 5. Wrapping Up

Packt.Hands-On.Deep.Learning.with.TensorFlow.rar (4.01 MB, 需要: 3 个论坛币) 本附件包括:
  • Packt.Hands-On.Deep.Learning.with.TensorFlow.azw3

二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

关键词:Learning earning Tensor Hands Learn

本帖被以下文库推荐

jjxm20060807 发表于 2017-8-17 21:23:14 |显示全部楼层 |坛友微信交流群
谢谢分享

使用道具

sukiyou2000 发表于 2017-8-17 22:48:24 |显示全部楼层 |坛友微信交流群
谢谢分享!

使用道具

军旗飞扬 发表于 2017-8-18 09:17:33 |显示全部楼层 |坛友微信交流群
谢谢楼主分享!

使用道具

lianqu 发表于 2017-8-18 11:29:47 |显示全部楼层 |坛友微信交流群

使用道具

hzip 发表于 2017-8-19 22:57:41 |显示全部楼层 |坛友微信交流群
写TensorFlow的书貌似不多.

使用道具

您需要登录后才可以回帖 登录 | 我要注册

本版微信群
加好友,备注jr
拉您进交流群

京ICP备16021002-2号 京B2-20170662号 京公网安备 11010802022788号 论坛法律顾问:王进律师 知识产权保护声明   免责及隐私声明

GMT+8, 2024-3-28 21:42