annGRADE12

A biological network of neurons in the brain.

A type of computer hardware used for complex calculations

. A machine learning model inspired by the human brain

A mathematical equation for linear regression.

. Cells in the human brain.

Mathematical functions that process inputs and produce outputs

Nodes that make up the layers of a neural network.

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FALSE

TRUE

FALSE

Basic Neural Network

Deep Neural Network

They determine the learning rate of the network.

They control the size of the neural network

They define the input features of the network.

They introduce non-linearity, allowing the network to learn complex patterns

The process of adjusting weights and biases to minimize the error in the network

The process of propagating signals from the output layer to the input layer

. The process of initializing the weights and biases of the network.

The process of defining the architecture of the neural network.

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MULTIPLE

DOUBLE

TRUE

FALSE

Uses filters to extract images

Has 3D dimensions of neurons

Used in medical imaging

used in style transfer

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FALSE

TRUE

FALSE

Feedforward neural network

Recurrent neural network.

Convolutional neural network

By adjusting their weights and biases based on the error in their predictions

By memorizing the training data.

By using a fixed set of rules

By ignoring the input data.