Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Network Architecture: CNN Example

This video provides a comprehensive overview of Convolutional Neural Networks, covering their architecture and key components.

What is the size of the input image used in the CNN example?

• 28 by 28

• 32 by 32

• 128 by 128

• 64 by 64

How many convolutional filters are used in the example?

• One

• Two

• Three

• Four

What activation function is applied after adding bias in the convolution process?

• Softmax

• ReLU

• Tanh

• Sigmoid

What is the purpose of max pooling in a CNN?

• To add bias

• To apply non-linearity

• To reduce the size of the feature map

• To increase the size of the feature map

What is the dimension of the feature map after max pooling in the example?

• 4 by 4

• 16 by 16

• 8 by 8

• 32 by 32

What type of layer is used after flattening the feature maps?

• Fully connected layer

• Pooling layer

• Convolutional layer

• Dropout layer

Which function is used for classification in the fully connected layer?

• Softmax

• Tanh

• Sigmoid

• ReLU