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Feature selection methods are also utilized to reduce training time and model complexity.
Therefore, it is important to develop systematic personnel assignment processes that consider complete skill sets of candidates to provide solutions that reduce training time.
Facebook managed to reduce training time so dramatically by distributing training in larger "minibatches" across a greater number of GPUs.
Furthermore, in order to simplify the training set and to reduce training time, the VQ technique was applied.
Being able to scale training across so many GPUs to reduce training time, without a dramatic loss in accuracy, is a big deal.
Good features help reduce training time as well as utilization time, defy the curse of dimensionality to improve prediction performance, and reduce storage requirements [26].
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With the introduction of theoretical knowledge in the network structure, the hybrid model results demonstrated a better prediction efficiency and reduced training time.
Through various experiments on MNIST variation datasets, FCCNN achieves classifying accuracy comparable to the state-of-the-art methods while requires significantly reduced training time.
One option for reducing training time was to contract out "mess and maintenance" week, a period in the boot camp program when recruits worked in mess halls and did maintenance jobs.
Michigan announced in May that its self-imposed sanctions included probation for two years and reducing training time by 130 hours over two years, doubling the amount of time the Wolverines had exceeded N.C.A.A. rules by.
In any neural network system, proper parameter initialization reduces training time and effort, and generally leads to compact modeling of the process under examination, i.e. less complex network structures and better generalization.
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