CNN Quiz

What is a Convolutional Neural Network (CNN)?

• A type of neural network specialized in processing sequences

• A type of neural network for processing structured data

• A neural network designed for image and spatial data processing

• A network for generating natural language texts

What is the main difference between a CNN and a regular neural network?

• CNNs use recurrent layers

• CNNs use convolutional layers to detect patterns in data

• CNNs require a larger dataset than regular neural networks

• CNNs are designed only for tabular data

What are filters (or kernels) in CNNs used for?

• Reducing the size of the input image

• Detecting features like edges, corners, or textures in images

• Increasing the resolution of input images

• Performing data augmentation during training

What is the role of pooling layers in a CNN?

• To reduce the size of feature maps and retain important features

• To increase the number of parameters in the model

• To perform convolution operations on the input

• To combine multiple images into a single one

Which of the following is NOT a layer used in a CNN?

• Convolutional layer

• Pooling layer

• Fully connected layer

• Recurrent layer

What is the main purpose of using CNNs in image processing?

• To classify text data

• To detect objects and patterns in images

• To process audio signals

• To perform matrix multiplications on data

What is the common activation function used in CNNs?

• Sigmoid

• ReLU (Rectified Linear Unit)

• Tanh

• Softmax

What kind of data do CNNs typically process?

• Sequential data

• Text data

• Spatial data, like images

• Tabular data

What is the shape of an image that a typical CNN processes?

• 1D vector

• 2D matrix (height and width)

• 3D tensor (height, width, and channels)

• 4D tensor (height, width, channels, and depth)

What is the last layer of a CNN used for classification?

• Pooling layer

• Convolutional layer

• Fully connected layer with softmax activation

• Dropout layer