- How are images represented in computers?
Images are represented in computers as a group of pixels, with each pixel having its own intensity (value between 0 and 255). Color images have three channels (red, green, and blue) while grayscale images have only one channel.
- What are the fundamental building blocks of a CNN?
All convolutional neural network consists of convolution layers, pooling layers, and fully connected layers.
- What is the role of the convolutional and pooling layers?
The convolutional and pooling layers are responsible for extracting spatial characteristics from the images. For example, when training a CNN to identify images of cats, one such spatial characteristic would be the pointy ears of cats.
- What is the role of the fully connected layers?
The fully connected layers are similar to the those in MLPs and feedforward neural networks. Their...
