Sentence examples for more efficient trains from inspiring English sources

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HIP has awarded its second-highest rating to General Electric, commending its "ecomagination" program, which finances wind farms and more efficient trains.

More efficient trains will help by using less power per passenger, and engineers are pondering cooling trains on the bits of the network that are above ground.Even if all these plans come to fruition, says Mr Waboso, it will be several years before they can be implemented.

In a speech at the UK Investment Summit Wales in Newport, Prime Minister David Cameron said: "After years of neglect, this part of Wales will finally get the infrastructure it needs - faster, modern, more efficient trains.

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Furthermore, weight sharing leads to more efficient training and more effective model especially when some similar local structures appear in the input feature space.

One alternative is to improve the methods of training, ideally increasing the speed at which mastery can be attained through more efficient training methods.

The FN was used to reduce the dimensionality of the input data (well logs) for the more efficient training of the T2FLS.

A better exercise tolerance could be expected with a proportional mode of ventilation, which can translate into longer and more efficient training sessions.

The CUED-RNNLM [11] provides an implementation for the recurrent neural network-based model, and it has GPU support to achieve a more efficient training speed.

The results of our study have been used to provide the port of Rotterdam with practical guidelines regarding how to proceed with designing more efficient training sessions.

In this work, we propose to incorporate the recent Method of Auxiliary Coordinates (MAC) [16] into our framework for training, which appears to open an interesting door toward more efficient training of deep architecture.

The wide availability of increasing computing power coupled with the development of more efficient training algorithms have allowed the implementation of deep learning principles in a manner and span that had not been previously possible.

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