Build a Machine Learning Image Classifier with Python

提供:
Coursera Project Network
このガイド付きプロジェクトでは、次のことを行います。

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中級
Cloudダウンロード不要
Video分割画面ビデオ
Comment Dots英語
Laptopデスクトップのみ

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.

あなたが開発するスキル

  • Computer Vision
  • Machine Learning
  • Deep Learning

ステップバイステップで学習します

ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。

  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.

ガイド付きプロジェクトの仕組み

ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です

分割画面のビデオで、講師が手順ごとにガイドします

よくある質問

よくある質問

さらに質問がある場合は、受講者ヘルプセンターにアクセスしてください。