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Nov 17 2021 nbsp 0183 32 The word training can mean learning how to do something that has nothing to do with sport so it s ambiguous in these examples none of which is right for the situation you appear to want to describe i e attending an organised sporting activity such as football practice weight training tennis lessons tae kwondo cricket nets etc
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Jul 24 2009 nbsp 0183 32 quot Katherine went to five training sessions a week before the triathlon quot is possible but not quot Katherine went to five trainings a week quot Personally I would just say quot Katherine trained five times a week quot Maybe whether or not quot training quot is a count or non count noun comes down to semantic distinctions between different types of training
Training What Would I Prefer An Over fitted Model Or A Less , Jan 12 2020 nbsp 0183 32 Clearly over fitted The second has an accuracy of 83 on training set and 83 on test set On the one hand model 1 is over fitted but on the other hand it still yields better performance on an unseen test set than the good general model in 2 Which model would you choose to use in production The First or the Second and why
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4 days ago nbsp 0183 32 Overview The Business Process Framework also known as eTOM is a comprehensive industry agreed multi layered view of the key business processes required to run an efficient and agile digital enterprise It provides a common language for use across departments systems partners and suppliers reducing cost and risk of system Process Framework eTOM TM Forum. Using industry best practices and the ecosystem modeling framework this training course will enable you to understand how ecosystems are changing the fundamentals of the business world and introduces a common language a way of thinking and a methodology to help you address the challenges and opportunities in this space Nov 13 2020 nbsp 0183 32 I m training a segmentation model Unet on 2d images and I am now trying to find the optimal learning rate The backbone of the model is Resnet34 I use Adam optimizer and the loss function is the
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