What is BackpropTrainer?

11. What is BackpropTrainer?

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

Answer: B) 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.

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