Page 344 - AI Ver 3.0 class 10_Flipbook
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Step 36 Double-click the Image Viewer widget to view the images in the training dataset.
The Image Viewer widget will show the test dataset that you selected, allowing you to visually inspect
the images that will be used for predictions.
Step 37 Drag and drop the Image Embedding widget to the canvas, which will convert the images into
numerical features for prediction.
Step 38 Connect the Test Data widget (test dataset) to the Image Embedding widget, which processes the
images into numerical representations that can be used by the model.
Step 39 Drag and drop the Predictions widget onto the canvas. This will allow you to make predictions based
on the trained model.
Step 40 Connect the Image Embedding widget
(which processes the test data) to the
Predictions widget. This is the input
data for making predictions.
Step 41 Drag and drop the Logistic Regression
widget to the canvas (as this is the
model you chose after evaluation).
Step 42 Connect the Logistic Regression
widget to the Predictions widget.
This will apply the Logistic Regression
model to the processed test data for
classification.
Step 43 Connect the Image Embedding widget (which contains the features from the training data) to the
Logistic Regression widget. This allows the Logistic Regression model to learn from the features
extracted during training.
342 Touchpad Artificial Intelligence (Ver. 3.0)-X

