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Question
how to training and testing classification of feed forward neural network code and identitfy the which find of leaf disease identification
[x,t] = simplefit_dataset; net = feedforwardnet(10); net = train(net,x,t); view(net) y = net(x); perf = perform...
7 years ago | 0 answers | 0
0
answersQuestion
how do can classify neural network from glcm feature extraction detect tha leaf diseases
i want source code pls sir help me
9 years ago | 0 answers | 0
0
answersQuestion
how to train and testing data leaf diseases identification using classify pattern recoginitaion neural network?
hello sir, i need codeing pls send me sir very urgent i want
9 years ago | 1 answer | 0
1
answerQuestion
why we give training and testing samples in same data set on neural network?
pls help me sir i want tesing and train code
9 years ago | 1 answer | 0
1
answerQuestion
My data set have 60 images(11features each). there are 60 for train. 15 for validation. 30 for testing. my problem is, after writing this code am getting 100% accuracy which is absurd. plz help me in this matter as am not sure if my code is corre
load('trmat.mat'); %60 x 11 load('test.mat'); %1 x 60 x=transpose(trmat); t=test; inputs = x targets = t % Create a Patter...
9 years ago | 0 answers | 0
0
answersQuestion
what is the simplefit_dataset in this code??? and how i give the feature extracted value for this code in testing and triaining time???? pls help to solve this?????
[x,t] = simplefit_dataset; net = feedforwardnet(10); net = train(net,x,t); view(net) y = net(x); perf = perform...
9 years ago | 1 answer | 0
1
answerQuestion
what is x,t and y variables in this code?
[x,t] = simplefit_dataset; net = feedforwardnet(10); net = train(net,x,t); view(net) y = net(x); perf = perf...
9 years ago | 3 answers | 0
