Prepare the Data
Train an Image Classifier

Train an Image Classifier

With the prepared data, it's time to use the teachable machine to train an image classifier for the defined problem.  

Practice Goals:

For this practice session, use the teachable machine to define the various class labels in your image classification model, and load the data samples necessary for each class.  Prior to training the model, configure one of the most fundamental hyperparameters of the learning process ��� the number of complete passes through the dataset (epochs).

Hands-On Activities:

  • Launch the Teachable Machine  
  • Create an Image Project:  
    Click [Get Started] [Image Project]
    Select [Standard Image Model]
  • Define Category Names:  
    [Edit Class Name] or [Add a Class]
  • Load Data for Each Category: 
    [Add Image Samples] [Upload]
  • Configure the Training Process: 
    Click [Advanced] 
    Set [Epochs] to 10
  • Train the Image Classifier:
    Click [Train Model] 

How-To Guides:

Defining a New Standard Image Model and Loading the Data



Training the Image Classifier for a Specified Number of Epochs