Sentence examples for target training from inspiring English sources

This allows for a comparison between soft target training and parameter reduction methods applied to a trained network, such as SVD restructuring.

It is also home, from time to time, to thousands of United States sailors and marines who use part of the island for target training, bombing runs and mock guerrilla fighting.

Semi-supervised learning could potentially play a role in the soft target training process as well.

In Section 4, we studied parameter reduction using soft target training.

The soft target training approach used in this paper proceeds as follows.

The source and target training sentences are assumed to be parallel and phonetically labeled.

Uniformed Feature-Space Remapping (UFSR) is used when no labeled target training data is provided.

Nonetheless, useful information is acquired by the small network through soft target training.

This section focuses on soft target training as a way of obtaining compact yet accurate DNN.

Having an adequate amount of untranscribed data for soft target training is important.

For RBFs, the target training mean squared error was chosen equal to 10−30.