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Python 3
Model Training and Evaluation

Model Training and Evaluation

Model Training and Evaluation

Model Training and Evaluation

After building the neural network, it is trained using the training dataset. During training, the model adjusts its weights to improve prediction accuracy.

The trained model is then evaluated using the testing dataset.

Some common evaluation metrics include:

Accuracy
Loss
Validation Accuracy
Validation Loss

These metrics help measure the performance of the model.

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Model Training and Evaluation

Contents

Model Training and Evaluation

Building an Image Classification System Using CNN

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GIT Guide

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