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Training and Evaluating the CNN Model

Training and Evaluating the CNN Model

Train the CNN using the training dataset.

Code

cnn.fit(X_train, y_train, epochs=5)

Explanation

The CNN learns hierarchical image features during training. Each epoch improves the model's ability to classify different image categories.

Evaluating the CNN Model

Evaluate the trained CNN.

Code

cnn.evaluate(X_test, y_test)

Explanation

The testing dataset is used to measure the CNN's performance on unseen images. The evaluation results indicate how accurately the model can classify new images.


Building an Image Classification System Using CNN

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Vishalini A





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