The loss function is a primary measure of the performance of the neural network. In Deep Learning, a good performing network will have a low loss function at all times when training. 10. What are some of the Deep Learning frameworks or tools that you have used? This question is quite com...
AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics: A tutorial to help machine learning researchers to automatically obtain optimized machine learning models with the optimal learning performance on any specific task. SKBEL: A Python library for Bayesian Evidential Learning (BEL) in order to ...
Unreliability, late delivery, lack of security — often even poor performance in large-scale systems can all be seen as deriving ultimately from unmanageable complexity. Quoting Djikstra: "testing is hopelessly inadequate...(it) can be used very effectively to show the presence of bugs but never...
Research on the psychology of learning has highlighted straightforward ways of enhancing learning. However, effective learning strategies are underused by learners. In this Review, we discuss key research findings on two specific learning strategies: spa
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Anyone at GitLab can contribute to creating custom Support-specific training on how to use, configure or debug GitLab and its various components. Within the existingSupport Training Projectthere is a directory namedSupport Specific Trainingsthat provides a means for storing shorter non-module-based ...
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DefaultPlatform* platform = new DefaultPlatform(idle_task_support, tracing_controller); platform->SetThreadPoolSize(thread_pool_size); (lldb) fr v thread_pool_size (int) thread_pool_size = 0 Next there is a check for 0 and the number of processors -1 is used as the size of the ...
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