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Python 3
Training and Evaluating an ANN Model for Image Classification

Training and Evaluating an ANN Model for Image Classification

Training and Evaluating the ANN Model
Evaluating the ANN Model

Training and Evaluating the ANN Model

Train the model using the training dataset.

Code

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

Explanation

The ANN learns image patterns by adjusting its weights over multiple epochs. During training, the model gradually improves its ability to classify images.

Evaluating the ANN Model

Evaluate the trained model using the testing dataset.

Code

ann.evaluate(X_test, y_test)

Explanation

The testing dataset measures how well the ANN performs on unseen images. The accuracy obtained here serves as a baseline for comparison with the CNN model.

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Training and Evaluating an ANN Model for Image Classification

Contents

Training and Evaluating the ANN Model

Code

Explanation

Evaluating the ANN Model

Code

Explanation

Building an Image Classification System Using CNN

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