Multiple-choice questionnaire

In the context of neural networks, what does the term "deep" refer to in deep learning?

• The complexity of mathematical operations

• The number of layers in the network

• The variety of activation functions used

• The presence of feedback loops

Which neural network type is primarily used for image recognition and computer vision?

• Feedforward Neural Network

• Recurrent Neural Network

• Convolutional Neural Network

• Perceptron

What is the purpose of an activation function in a neural network?

• Assigning weights to inputs

• Determining the importance of variables

• Adjusting parameters during training

• Deciding whether a node should be activated

Which optimization algorithm is commonly used for adjusting weights in neural network training?

• Random Forest

• Gradient Descent

• K-Means

• Support Vector Machine

What role does backpropagation play in neural network training?

• Initializing network weights

• Propagating information forward

• Calculating gradients and adjusting parameters

• Activating nodes in the output layer