借助TensorFlow回归预测房价

Predicting House Prices with Regression using TensorFlow

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Rhyme
Coursera
  • 完成时间大约为 2 个小时
  • 简单(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.

Solve regression 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 you will learn to use it to solve a basic regression problem. By the end of this project, you will have created, trained, and evaluated a neural network model that, after the training, will be able to predict house prices with a high degree of accuracy.

Notes:
– 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: Predicting House Prices with Regression

Welcome to this project-based course on Predicting House Prices with Regression using 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 regression problem. Our approach will be using a neural network to solve this 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 accurately predict price of a house if provided with some information like the age of the house, geographical location and so on.

课程项目

Data normalization

Train and Test split

Create a neural network model

Train the model to fit the dataset

Evaluate the model

Visualize the predictions

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