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DNNs are generally feedforward networks by which knowledge flows within the input layer on the output layer without having looping again. To start with, the DNN generates a map of virtual neurons and assigns random numerical values, or "weights", to connections in between them.Similar to facial recognition, deep learning works by using countless au
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