Sentence examples for transform training from inspiring English sources

Innovative companies will transform training and internships into apprenticeships that pass the torch.

There is a widespread view that MOOCs are a disruptive innovation with the potential to revolutionize and transform training (DiSalvio, 2012; Harden, 2012; Mazoue, 2013).

Cabot Learning Federation CLFF) has paid £9,000 for training courses to Transform Training and Consultancy, where a former trustee of the federation is also a director.

Commuters between Rouen and Paris and between Tours and Paris in turn transform trains into bedrooms (when they rest or sleep), living rooms (when they listen to music or watch films), kitchens (when they eat) and bathrooms (when they put on makeup) [2, 41].

Widely demoed in Washington, DC, during the 1990s, the model kick-started "heavy-duty funding" for combat simulators, says Timothy Lenoir of Duke University, and began a technological revolution that has transformed training and changed the way war is waged.Technology Quarterly What happened to the flying car?

The size of the transformed training and testing data vectors is n, which is very less than original size m.

These transformed training patterns will then be classified in the new filter space; the aim of clustering is to group the identical patterns into separate classes so that the similarity between them is defined as their distances to each other.

The training data vector (x_l^{(i }in {R^m}) is transformed into (hat{x_l}^{(i }in {R^n}) as follows: begin{aligned} hat{x_l}={W_1}x_l end{aligned} (5)This transformed training vector (hat{x_l}^{(i)}), is weighted linear combination of the feature vectors from ({W_1}).

Because the configuration parameters and the clutter spectral response are obtained with full-snapshot using sparse representation, SR-RBC provides more accurate clutter spectral estimation, and the transformed training data are more stationary so that better signal-clutter-ratio (SCR) improvement is achieved.

Similarly the testing data vector (x_t^{(i }in {R^m}), is also transformed into (hat{x_t}^{(i }in {R^n}) as follows: begin{aligned} hat{x_t}={W_1}x_t end{aligned} (6 The size of the transformed training and testing data vectors is n, which is less than original size m, because the number of hidden layer neurons are less than the number of input layer neurons or Open image in new window.

The new obtained transformed training set for classifier   C i is shown by XR a i.