Layers, neurons, and weights

Activation function only

Bias terms only

None of the options

Sigmoid

ReLu

TanH

Softmax

True

False

True

False

To calculate loss

To perform backpropagation

To update weights

To initialize gradients

Data preprocessing

Model evaluation

Model training

Data augmentation

Non-linear functions allow neural networks to model complex relationships.

Non-linear functions reduce the need for multiple layers in a network.

Without non-linear functions, a neural network behaves like a single-layer linear model.

Using non-linear functions guarantees higher accuracy in every problem.

4o