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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.