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I get WAY DIFFERENT results in each run despite using random state for making sure that network outputs same result for same hyper parameters, here is some sample outputs(I've printed...
Asked on 01/07/2021 by hamidreza davirani
1 answerI have one distribution of size 30. This are results (ROC-AUC for example) from training a neural network for 30 times in a row with the same hyperparameters but since...
Asked on 01/07/2021 by Dieshe
1 answerColorBrewer seems to be very useful in selecting a color pallet to represent factors that have up to 12 possible values. I have 28. Is it...
Asked on 01/07/2021 by kmace
1 answerI'm working on a project (court-related). At a certain point, I have to extract the reason of the legal compensation. For instance, let's take these sentences (from a court report)...
Asked on 01/07/2021 by Omar Souaidi
1 answerFor a project that I'm working on, I have created a simple model in TensorFlow that consists of a dense features layer followed by three dense layers.def build_model(arguments):...
Asked on 01/07/2021 by Aaron Jones
2 answerGiven two sets of samples drawn from two different distributions, is it computationally possible to get an estimate of KL-Divergence between the two distribution using these samples? Here I am...
Asked on 01/07/2021 by Vijetha Gattupalli
2 answerWhen should MLP conv layers be used instead of normal conv layers? Is there a consensus? Or is it the norm to try both and see which one performs better?...
Asked on 01/07/2021
2 answerI've been researching a good way to automate short answer evaluation. Essentially a teacher gives a test with some questions like: Question: why did columbus sail westward to find asia?...
Asked on 01/07/2021 by b_the_builder
3 answer...
Asked on 01/07/2021 by zoete aardappel
0 answerI have came across a case where my decision trees are getting overfitting so by using methods like gradient boost can I solve that problem....
Asked on 01/07/2021
1 answerGet help from others!
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