Expert GeoServer电子书

售价：¥

4人正在读 | 1人评论

9.8

作者：Ben Mearns

出版社：Packt Publishing

出版时间：2018-07-31

字数：13.0万

所属分类：进口书 > 外文原版书 > 电脑/网络

温馨提示：数字商品不支持退换货，不提供源文件，不支持导出打印

为你推荐

Learning Python

￥90.46

Cybersecurity – Attack and Defense Strategies

￥73.02

Mastering Python

￥71.93

Beginning C++ Programming

￥90.46
Spring 5 Design Patterns

￥80.65

Deep Learning for Computer Vision

￥73.02

Docker on Windows

￥90.46

Godot Engine Game Development Projects

￥73.02

读书简介
目录
累计评论(1条)

读书简介
目录
累计评论(1条)

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.

目录展开