convolutional neural networks

What is the main purpose of convolutional neural networks (CNN)?

• Speech recognition

• Image processing and recognition

• Stock price prediction

• Language translation

Which of the following is not an application of CNN?

• Face recognition in photographs

• Object detection in self-driving cars

• Prediction of earthquake magnitudes

• Diagnosis of diseases using medical images

What is the first step in CNN?

• Pooling

• Fully connected layer

• Convolution

• Backpropagation

What is the purpose of convolution in CNN?

• Reducing the size of the image

• Extracting important patterns and features

• Speeding up the model

• Increasing the resolution of the image

What does a convolutional filter (kernel) do?

• Detects specific features such as edges and textures

• Reduces the size of the image

• Converts images to grayscale

• Increases the brightness of the image

What is the role of pooling in CNN?

• Increase the number of features

• Increase the size of the image

• Reduce the size of the image while preserving important information

• Add more filters

What type of pooling is commonly used in CNN?

• Average pooling

• Max pooling

• Average pooling

• Soft pooling

What does a fully connected (FC) layer do in a CNN?

• Makes final predictions based on extracted features

• Reduces the number of neurons

• Extracts edges from images

• Converts images to grayscale

What dataset is commonly used to train CNNs on handwritten digits?

• CIFAR-10

• MNIST

• ImageNet

• COCO

Which function in PyTorch is used to apply convolution to an image?

• nn.Conv2d

• nn.Linear

• torch.conv

• nn.Pool2d