AIGA

What is the basic building block of an artificial neural network (ANN)?

• Neuron

•  Layer

• Weight

• Activation Function

How do nodes in a neural network get activated?

• When there is insufficient input

• When there is no input

• When there is sufficient input

• When there is excessive input

What do the connections between artificial neurons in a neural network act like?

• Blood vessels

• Nerves

• Synapses

• Muscles

What happens if the sum of data inputs in a neuron is more than a certain threshold value?

• The neuron becomes inactive

• The neuron 'fires' and activates the neurons it is connected to

• The neuron deletes the data inputs

• The neuron passes the data inputs to the next neuron

Which part of an ANN is responsible for adjusting the model's parameters during training?

• Activation Function

• Neuron

• Loss Function

• Optimizer

The process of an ANN making predictions based on learned patterns is called:

• Forward Propagation

• Backpropagation

• Gradient Descent

• Stochastic Gradient Descent

The term "deep" in Deep Learning refers to ANNs with:

• A large number of layers

• A high number of epochs

• A high learning rate

• A large number of neurons

Which activation function is commonly used for binary classification problems?

• Tanh

• Softmax

• Sigmoid

• ReLU

Overfitting in an ANN occurs when:

• The model performs well on training data but poorly on unseen data

• The model has too many layers

• The model has too few layers

• The model is too simple

Which ANN architecture connects each neuron from one layer to every neuron in the subsequent layer?

• Recurrent Neural Network

• Multilayer Perceptron

• Convolutional Neural Network

• Autoencoder