Page 344 - AI Ver 3.0 class 10_Flipbook
P. 344

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.



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