Python for Deep Learning - Build Neural Networks in Python - Accuracy of the Model

The video tutorial covers the completion of training a CNN model and proceeds to evaluate its performance, achieving an accuracy of 98.64%. It concludes with a quiz on the concept of translation invariance induced by pooling layers in convolutional neural networks.

Why is it important to evaluate a model after training?

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What does the command 'Model dot evaluate' signify in the training process?

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