Part 1: Fundamentals of Neural Networks and CNN Basics

What does ANN stand for?

Which function is commonly used as an activation function in neural networks for introducing non-linearity?

What is the primary purpose of pooling layers in a CNN?

In a CNN, what does the term "stride" refer to in the context of convolutional layers?

What is the primary role of the activation layer in a CNN?

Why do CNNs use parameter sharing in convolutional layers?

What is the primary advantage of CNNs over fully connected networks?

What is the purpose of dropout layers in a CNN?

Which layer type is responsible for reducing the size of feature maps through downsampling in a CNN?

What is the primary benefit of using an activation function like ReLU in CNNs?