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. 2020 Nov;12(11):6954–6965. doi: 10.21037/jtd-2019-cptn-03

Figure 2.

Figure 2

Schematic representation of a convolutional neural network containing an input layer, three hidden connected layers, and an output layer. The computational strength of such network lies in the integration of multiple “neurons” (represented by the circles) within the deep hidden layers between the input and output layers. Typically the outputs of one layer serve as the input of the next layer.