Consider the following code: cnn.add(Dense(units=10, activation='softmax'))
Which of the following statements a), b) or c) about our convolutional neural net that recognizes MNIST digits is false?
A) Our convnet's final layer in the preceding snippet is a Dense layer that classifies the inputs into neurons representing the classes 0 through 9.
B) The softmax activation function converts the values of these remaining 10 neurons into categorical string labels '0' through '9'.
C) The neuron that produces the highest probability represents the prediction for a given digit image.
D) All of the above statements are true.

Question

Quizplus · Accepted Answer

The softmax activation function converts the values of the remaining 10 neurons into a probability distribution over 10 classes, but not necessarily the categorical string labels '0' through '9'. The actual label names may depend on how the training data was labeled, but the softmax function ensures that the output values sum to 1 and represent the probabilities of each class.

Consider the Following Code: Cnn.add(Dense(units=10, Activation='softmax'))