Build a Machine Learning Image Classifier with Python

提供方
Coursera Project Network
在此指导项目中,您将:

Build your own image classifier using Python code

Preprocess and normalize that data for training

Train and test your model on your own sample image

Clock1.5 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

In this 1-hour long project-based course, you will learn how to build your own Machine Learning Image Classifier using Python and Colab. You will be able to easily load the data, preview it, process and normalize it, then train and test your model! I hope you enjoy the experience! 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.

您要培养的技能

  • Computer Vision
  • Machine Learning
  • Deep Learning

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Task 1 : you will get an overview of Colaboratory and you will have gotten familiar with how to access and set up the environment for this course. then preview what the finished project looks like.

  2. Task 2: you will have begun the process of building the image classifier using available data. You will learn how to load data, preview the data and its shape and how to process it for training.

  3. By the end of Task 3, you will have completed preprocessing and normalized your loaded data.

  4. By the end of Task 4, you will have setup the Keras model architecture, trained and evaluated your model.

  5. By the end of Task 5, you will have tested your trained model on the test dataset and also on your own choice image.

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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