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A Typical Convolutional Neural Network Consists of Several Layers-An Xe

question 48

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A typical convolutional neural network consists of several layers-an xe "input layer"input layer that receives the training samples, ________ layers that learn from the samples and an xe "output layer"output layer that produces the prediction probabilities.


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