Lec 8 CNN portion

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

Dot product

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

To extract features from the input data

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

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

<p>Convolutional layers</p> Signup and view all the answers

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

<p>To extract significant features while reducing dimensionality</p> Signup and view all the answers

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

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

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

<p>To add extra border pixels around the input image</p> Signup and view all the answers

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

<p>Convolutional layers</p> 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)?

<p>To extract information from the input data via convolution operations</p> Signup and view all the answers

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