L2R

6 ms·

1. 1.▲
   by L2R 7y ago

   Researcher here (in ML), our field is so full of noisy results due to this issue. Everyone talks about it, but you can't get around the fact that you no longer can get away with a low amount of publications.
2. 2.▲
   by L2R 7y ago

   The issue is it takes away a significant amount of utility without adding any. Volume/brightness is slightly better, but you can get the same effect by holding down the physical button. Some users like to use Caps Lock for Ctrl, and th
3. 3.▲
   by L2R 7y ago

   Based off of the results, you have to train a larger number of architectures to identify the right subnetwork.
4. 4.▲
   by L2R 7y ago

   There are approaches to ensure parameters remain stable despite the depth (selu, for example).
5. 5.▲
   by L2R 7y ago

   Nothing wrong with an SVM. How else would they create a decision boundary for classifying patients? The choice of the polynomial kernel is interesting, but I don't think it causes any issues given the data.
6. 6.▲
   by L2R 8y ago

   Spot on. Just a heads up, there is a decent amount of work on using convolutions to condense the initial representations and can reduce computation time equal to your max pooling. A lot of these tasks can be done via hyperparameter search o