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Lec 8 CNN portion

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Questions and Answers

What is the main mathematical task performed in a Convolutional Layer of a CNN?

Dot product (correct)

Normalization

Eigenvalue decomposition

Matrix inversion

What is the purpose of a kernel in a Convolutional Neural Network (CNN)?

To increase the spatial resolution of the input data

To reduce the size of the input image

To decrease the number of features extracted

To extract features from the input data (correct)

In a CNN, what is the function of an activation function like ReLU following each convolution operation?

It allows the network to learn non-linear relationships (correct)

It reduces the dimensionality of the feature map

It helps in feature extraction

It learns linear relationships between features

Which component of a CNN aims to emulate the organization of neurons in the human visual system?

Convolutional layers Signup and view all the answers

What is the goal of the pooling layer in a CNN?

To extract significant features while reducing dimensionality Signup and view all the answers

What does 'stride' refer to in a Convolutional Neural Network (CNN)?

The number of pixels by which the convolutional filter is shifted over the input image Signup and view all the answers

Why is padding used in Convolutional Neural Networks (CNNs)?

To add extra border pixels around the input image Signup and view all the answers

Which layer in a CNN is responsible for identifying distinct features within the input data?

Convolutional layers Signup and view all the answers

What is the typical order of components in a Convolutional Neural Network (CNN)?

<ol> <li>Convolutional layers, 2) Activation Function, 3) Pooling layers, 4) Fully connected layers</li> </ol> Signup and view all the answers

What does a kernel (filter) do in a Convolutional Neural Network (CNN)?

To extract information from the input data via convolution operations Signup and view all the answers