Artificial Intelligence Neural Networks 3

Question 1

What is transfer learning in the context of neural networks?

Accepted Answer

Reusing a pre-trained model's weights as a starting point for a new task

Answer

Training from scratch on new data

Answer

Transferring gradients between layers

Answer

Compressing a model into fewer parameters

Question 2

Which optimizer is commonly described as using adaptive learning rates per parameter and momentum?

Accepted Answer

Adam

Answer

SGD

Answer

RMSProp

Answer

Adagrad

Question 3

What is a residual connection (skip connection) in a neural network?

Accepted Answer

A shortcut that adds the input of a layer block directly to its output

Answer

A connection that skips the activation function

Answer

A connection that resets the hidden state

Answer

A link between non-adjacent convolutional filters

Question 4

What does the loss function measure in neural network training?

Accepted Answer

The discrepancy between the model's predictions and the true labels

Answer

The speed of gradient computation

Answer

The number of active neurons

Answer

The total number of parameters

Question 5

Which technique generates new training images by flipping, rotating, or cropping existing ones?

Accepted Answer

Data augmentation

Answer

Data normalization

Answer

Weight initialization

Answer

Gradient clipping

Question 6

What is an epoch in neural network training?

Accepted Answer

One complete pass through the entire training dataset

Answer

A single weight update step

Answer

The initialization phase before training

Answer

The number of layers in the network