Which of the following is a way to speed up training of a Keras model?

Keras - Quiz(MCQ)

Adding more layers

Adding more training data

Increasing the batch size

Decreasing the learning rate

Correct Answer : Increasing the batch size

Explanation : Increasing the batch size can speed up training by allowing the model to process more examples at once, reducing the number of updates needed per epoch.

Recently Updated in Keras Questions

Which of the following is a fully connected layer whose output is sent back to the input?

RNN layer

Pooling layer

SimpleRNN layer

Embedding layer

Correct Answer : SimpleRNN layer

Explanation : SimpleRNN layer is a fully connected layer whose output is sent back to the input.

When sequential.pop() method raises a TypeError?

When there is no layer within the model

When there is the single layer within the model

When there are more than 10 layers within the model

None of the above

Correct Answer : When there is the single layer within the model

Explanation : sequential.pop() method raises a TypeError When there is a single layer within the model.

What does sequential.pop() method do?

It helps in the removal of the last layer from the model.

It helps in the removal of any layer from the model.

It helps in the removal of the first layer from the model.

All of the above

Correct Answer : It helps in the removal of the last layer from the model.

Explanation : Sequential.pop() functions help in the removal of the last layer from the model.

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