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.
A) intermediate
B) study
C) training
D) hidden

Question

Quizplus · Accepted Answer

The hidden layers are the layers in a convolutional neural network that learn from the training samples and extract features. Therefore, D, hidden, is the best choice. A, intermediate, is not a commonly used term to describe the layers in a convolutional neural network. B, study, is not relevant to the layers in a convolutional neural network. C, training, refers to the process of training the neural network, not to the layers themselves.

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