Rather than arbitrarily deciding in advance which features the network should look for, the authors allowed each of its hundreds of thousands of neurons to learn their own sensitivities gradually, exclusively from the training data, without manual intervention. Like a biological intelligence, AlexNet was a natural product of its environment. Next, signals from those thousands of receptive fields travel deep into the network, merging and clustering into larger, clearer hints.
