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基于TensorFlow的基本图像分类 | MOOC中国 - 慕课改变你,你改变世界

基于TensorFlow的基本图像分类

Basic Image Classification with TensorFlow

1496 次查看
Rhyme
Coursera
  • 完成时间大约为 2 个小时
  • 初级
  • 英语
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Create, train and evaluate a neural network in TensorFlow

Understand the basics of neural networks

Solve classification problems with neural networks

课程概况

In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of neural networks, TensorFlow, and Keras.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

课程大纲

TensorFlow Beginner: Basic Image Classification

Welcome to this project-based course on Basic Image Classification with Keras and TensorFlow. In this project, you will learn the basics of using Keras with TensorFlow as its backend and you will learn to use it to solve a basic image classification problem. By the end of this 2-hour long project, you will have created, trained, and evaluated a Neural Network model that, after the training, will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of Neural Networks, TensorFlow and Keras.

课程项目

Encode the labels

Understand neural networks

Preprocess image examples

Create a neural network model

Train the model to fit the dataset

Evaluate the model

Visualize the predictions

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