KNN-regression
Super simple K-NN regression algorithm in MATLABmain.mrange = 1;xall = [1 3 5 7 9 11 13 20 21 23 24 25 30]'*range;yall = [0 3 2 6 1 0 2 4 5 6 10 5 0]';xs = linspace(0, 30*range, 100)';k = 5;func = @(X)(get_knnregression(X, xall, yall, k));outs = func(xs); figure(1); clf; hold on;plot(xall, yall, 'ko', 'MarkerSize', 15, 'LineWidth', 2);plot(xs, outs, 'b-', 'LineWidth', 2);title(sprintf('KNN REGRE..
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TensorFlow-trained network in MATLAB
TensorFlow Code MATLAB Codemain.mccc %% LOAD TENSORFLOW WEIGHTS ccc % LOAD TRAINED NETWORK PARAMETERS l = load('data/mlp.mat'); % MLP FORWARD PATH out = mlp(l.testimg, l.w1, l.w2, l.wout ... , l.b1, l.b2, l.bout); [~, pred] = max(out, [], 2); [~, answ] = max(l.testlabel, [], 2); % CHECK TEST ACCUARACY iseq = (answ == pred); acc = mean(iseq); fprintf('TEST ACCURACY IS %.2f%% \n', acc*100); mlp.mf..
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