What is BackpropTrainer?

A) BackpropTrainer is a trainer that backpropagates mistakes to train the parameters of a module using a supervised or ClassificationDataSet dataset

B) BackpropTrainer is a trainer that backpropagates the dataset in a forward direction to train the parameters of a module using a supervised or ClassificationDataSet dataset.

C) Both (A) and (B)

D) None of the above

Correct Answer : BackpropTrainer is a trainer that backpropagates mistakes to train the parameters of a module using a supervised or ClassificationDataSet dataset

Explanation : BackpropTrainer is a trainer that backpropagates mistakes to train the parameters of a module using a supervised or ClassificationDataSet dataset.