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Class 12 · Artificial Intelligence

Why are a neural network's weights and biases changed during training?

Class 12 · Artificial Intelligence

Why is an activation function useful in a neural network?

Class 12 · Artificial Intelligence

What is the main role of the output layer in a neural network?

Class 12 · Artificial Intelligence

What is the main role of the input layer in a neural network?

Class 12 · Artificial Intelligence

What does a false positive mean in face recognition?

Class 12 · Artificial Intelligence

Why are bounding boxes used in object detection?

Class 12 · Artificial Intelligence

Why are class labels needed when training an image-classification model?

Class 12 · Artificial Intelligence

What is the main purpose of image preprocessing in computer vision?

Class 12 · Artificial Intelligence

What type of input does a speech recognition system take?

Class 12 · Artificial Intelligence

Why is understanding context important in language translation?

Class 12 · Artificial Intelligence

How is sentiment analysis useful in customer reviews?

Class 12 · Artificial Intelligence

On a school app, a student writes, “This app is very useful and has made studying easier.” In sentiment analysis, which category should an NLP system assign to this sentence?

Class 12 · Artificial Intelligence

Why can precision be useful in spam detection?

Class 12 · Artificial Intelligence

Why can recall be considered more important in medical screening?

Class 12 · Artificial Intelligence

What does a false positive represent in a confusion matrix?

Class 12 · Artificial Intelligence

What does a true positive represent in a confusion matrix?

Class 12 · Artificial Intelligence

If a model performs poorly on both training and testing data what can it indicate?

Class 12 · Artificial Intelligence

What does very high accuracy on training data and low accuracy on test data indicate?

Class 12 · Artificial Intelligence

When is clustering appropriate to use?

Class 12 · Artificial Intelligence

What is the main difference between supervised learning and unsupervised learning?