Sentence examples for means of training from inspiring English sources

In a nutshell, NLP is a means of training computers to understand human language.

According to CLT, studying worked examples is a more efficient means of training complex skills than solving conventional problems.

Benjamin welcomed radio as a "theatre of education", less an addition to the stock of "cultural goods" than a means of training the judgment of its audience and encouraging independent thought.

One such affected business was the Urban Horizons Food Company, a catering business operated by the Women's Housing and Economic Development Corporation as a means of training low-income men and women for jobs in commercial kitchens.

Scientific works certainly can last as "gratifications" because of their artistic quality, or they may remain important as a means of training.

A serious organization will need means of training its members so that everyone willing to take up one of the party's tasks -- whether proselytizing in a large or small way, organizing, or providing leadership -- can do so well, and so that at every level we know how to hold meetings that are rewarding to be a part of.

Furthermore, it could be beneficial to completely shift away from conventional similarity metrics and rather classify the fingerprints of docking poses by means of trained neural networks.

It connects the Western parts of France (Brittany to Nantes, Rennes, and South West to Bordeaux…) by means of trains that go around Paris and after westwards.

Optical excitation by means of trains of ultrashort pulses (about 100 fs) represents a very strict physical requirement to understand radiative and nonradiative mechanisms between excitonic molecules.

At the 40 60 hours range, which corresponds to the mean of training hours for that panel, we observe slightly higher returns for men in the range of 1 to 2 percentage points above that of women.

Fine-tuning meanwhile is commonly used, often by means of CNNs trained on ImageNet, as these nets have been trained extensively on very large data sets.