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.

What is the first step mentioned in the process of training a CNN model?

• Waiting for the model to be trained

• Deploying the model

• Evaluating the model

• Testing the model

What is the accuracy of the CNN model after evaluation?

• 97.45%

• 98.64%

• 95.32%

• 99.99%

Which method is used to evaluate the CNN model?

• model.train()

• model.predict()

• model.evaluate()

• model.compile()

What effect does adding a pooling layer have on a CNN?

• Removes noise

• Decreases accuracy

• Induces translation invariance

• Increases model size

In the quiz, what is the correct answer regarding translation invariance?

• True

• False

• Both A and B

• Not mentioned