In a neural network, knowing the weight and deviation of each neuron is the most important step. If you know the exact weights and deviations of neurons in some way, you can approximate any function. What is the best way to achieve this?
The pooling layer in the convolutional neural network can reduce the size of the lower layer input. Common pooling is:
During the two classification process, we can set any category as a positive example.
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