Sentence examples for batch training from inspiring English sources

The batch training of network proceeds by making weight and bias changes based on the entire set of input vectors.

The advantage of applied batch training methodology is the significant increase in speed of calculation of algorithms in comparison with delta rule training methodology.

While that's a mouthful, the name pretty much tells you what it is: a new service for batch training deep neural networks on the company's Azure cloud computing platform.

All the network weights and bias are adjusted using batch training with the resilient back-propagation (RPROP) algorithm[21], so as to reduce the minimum-cross-entropy error between network output and the target values.

All the network weights and bias are adjusted using batch training with an RPROP algorithm[21] so as to minimize the minimum-cross-entropy error between the network output and the target values.

A novel set of multiplicative update rules is proposed, which is independent from any kind of learning rate parameter, provides computational efficiency compared to the conventional batch training approach and is easy to implement.

This was to make seven 8-coach trands, and included additional trailers to increase the length of the previous 'MW' batch trains to eight coaches.

Briefly, larger sequences were subdivided into 10 kb fragments, and trained for 100 epochs using the k-batch training method, along with any leftover fragments exceeding 3 kb in length.

Furthermore, it was stated in the paper that the techniques studied require sufficiently large sample sizes in both batches (train and test) to be effective, which is not a realistic situation especially in clinical settings.

Furthermore, it was stated in the paper that the techniques studied required sufficiently large sample sizes in both batches (train and test) to be effective, which is not a realistic situation in clinical settings.

The BPh used to train the SLFNs using the primitive ELM method with some batch of training data in the initialization stage and these boosting training data will be discarded as soon as boosting phase is completed.