Question: how cnn works for image classification?
Answer: In a convolutional layer, neurons only receive input from a subarea of the previous layer. In a fully connected layer, each neuron receives input from every element of the previous layer. A CNN works by extracting features from images. ... CNNs learn feature detection through tens or hundreds of hidden layers.