Training on single CPU.Initializing image normalization.|=========================================================================================|| Epoch | Iteration | Time Elapsed | Mini-batch | Mini-batch | Base Learning|| | | (seconds) | Loss | Accuracy | Rate ||=========================================================================================|%%The code i am using is this.
clc;clear;close all;net=alexnet;layers=net.Layers;imds=imageDatastore('Flowers',... 'IncludeSubfolders',true,... 'LabelSource','foldername');[test, train]=splitEachLabel(imds,.7);numclass=numel(categories(imds.Labels));layers(end)=classificationLayer;layers(end-2)=fullyConnectedLayer(12);opt=trainingOptions('sgdm','InitialLearnRate',0.001);[newnet, info]=trainNetwork(train,layers,opt);plot(info.TrainingLoss)
MATLAB: The process is stuck in this form and not able to proceed further. i have waited about an hour but still nothing happened.
deep learningDeep Learning Toolboximage processingmachine learningMATLAB
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