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When I am training a DNN (Deep Neural Network) a typical command is: NetTrain[trainCNN4a1, TrainSet, {"TrainedNet", "LossEvolutionPlot", "RMSWeightEvolutionPlot", "RMSGradientEvolutionPlot", "TotalTrainingTime",...
Over the last week I have been training a deep learning NN (VGG style). Overall the results look good, but the discontinuities between training sessions worry me. Here is the Validation loss graph: ![Training over 20 epochs with 4 different...
After having creating a number of CNN (Convolution Neural Networks) with NetTrain, I have constantly found the Error Loss per Epoch to be small but useful in the training panel when it is training, but the "LossEvolutionPlot" provided as an output to...
For all my computations today I get a message: "This computation has exceeded the memory limit for your plan" (see attachment) I can not even add 2+2. Any idea what is happening? ![enter image description here][1] [1]:...
Is anyone interested in and actively using Wolfram to do Deep Learning research? I am doing research in all areas of Deep Learning with my focus currently on VGG style of convolution neural networks (CNN). I will be branching out very soon to RLN,...