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Discover Ludwig"training speed" is correct and usable in written English.
You can use it when referring to how quickly someone trains or to how quickly a particular activity or task is done. For example, "I have been practicing for months to increase my training speed for the marathon."
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"A factor of 100 in energy efficiency and in training speed for fully connected layers certainly seems worth further effort," says Schneider.
In our experiments, SGP achieved the best performance in many measures of performance, such as training speed, and test or classification speed.
Compared with general neural network models, the proposed model features a more simple network architecture, a faster training speed, and a more satisfactory prediction performance.
To train this lightweight deep network without compromising its efficiency, a new training method of progressive positive and hard negative sample mining is introduced and shown to drastically improve training speed and accuracy.
Compared with the algorithms such as Back Propagation Neural Network (BPNN) and the Support Vector Machine (SVM), ELM has the advantages of simple structure, fast training speed and high precision, more suitable for engineering application.
On the other hand, it has the undesirable side effect that large databases might produce a large network size (node proliferation) that can dramatically slow down the training speed of the algorithm.
Words are roughly clustered according to their frequencies in this method, with training speed increasing but performance degraded.
The Levenberg-Marquardt algorithm is one of the best training rules that designed to approach second-order network training speed [15].
Of course, the network size depends on the complexity of the underlying scenario where it is directly related to network training speed and recognition precision.
While the classification accuracy is similar, SART is shown to outperform the two other classifiers in terms of training speed and classification speed, especially for large databases.
This shows that BA-ELM has a faster training speed and better generalization performance than BA-NNs, which has been proved in Huang et al. (2006).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com