From b43fd023109f07296ec41a9ad793b8e0311bc040 Mon Sep 17 00:00:00 2001 From: Antonio Date: Mon, 19 Apr 2021 17:52:01 +0200 Subject: [PATCH] refactoring --- LAB2_2/Assignment1/hopfield.m | 50 ++++++------------ .../images/distorted_0_0.05_energy.png | Bin 19653 -> 20524 bytes .../images/distorted_0_0.05_overlap.png | Bin 35477 -> 35683 bytes .../images/distorted_0_0.05_reconstructed.png | Bin 17445 -> 17412 bytes .../images/distorted_0_0.10_energy.png | Bin 21502 -> 21528 bytes .../images/distorted_0_0.10_overlap.png | Bin 30624 -> 30719 bytes .../images/distorted_0_0.10_reconstructed.png | Bin 17414 -> 17448 bytes .../images/distorted_0_0.25_energy.png | Bin 20961 -> 21338 bytes .../images/distorted_0_0.25_overlap.png | Bin 33621 -> 33995 bytes .../images/distorted_0_0.25_reconstructed.png | Bin 17963 -> 18201 bytes .../images/distorted_1_0.05_energy.png | Bin 21272 -> 20595 bytes .../images/distorted_1_0.05_overlap.png | Bin 35736 -> 35720 bytes .../images/distorted_1_0.05_reconstructed.png | Bin 17724 -> 17771 bytes .../images/distorted_1_0.10_energy.png | Bin 23349 -> 22442 bytes .../images/distorted_1_0.10_overlap.png | Bin 30861 -> 30702 bytes .../images/distorted_1_0.10_reconstructed.png | Bin 17719 -> 17678 bytes .../images/distorted_1_0.25_energy.png | Bin 21942 -> 21548 bytes .../images/distorted_1_0.25_overlap.png | Bin 34815 -> 34510 bytes .../images/distorted_1_0.25_reconstructed.png | Bin 18503 -> 18521 bytes .../images/distorted_2_0.05_energy.png | Bin 24657 -> 25376 bytes .../images/distorted_2_0.05_overlap.png | Bin 33880 -> 34750 bytes .../images/distorted_2_0.05_reconstructed.png | Bin 17440 -> 17516 bytes .../images/distorted_2_0.10_energy.png | Bin 22532 -> 22437 bytes .../images/distorted_2_0.10_overlap.png | Bin 30762 -> 30666 bytes .../images/distorted_2_0.10_reconstructed.png | Bin 17443 -> 17479 bytes .../images/distorted_2_0.25_energy.png | Bin 21359 -> 21358 bytes .../images/distorted_2_0.25_overlap.png | Bin 34188 -> 34043 bytes .../images/distorted_2_0.25_reconstructed.png | Bin 18016 -> 18048 bytes 28 files changed, 17 insertions(+), 33 deletions(-) diff --git a/LAB2_2/Assignment1/hopfield.m b/LAB2_2/Assignment1/hopfield.m index fa0ee85..22ab591 100644 --- a/LAB2_2/Assignment1/hopfield.m +++ b/LAB2_2/Assignment1/hopfield.m @@ -1,35 +1,18 @@ % Hopfield model -% +% load('lab2_2_data'); set(groot,'defaultFigureVisible','off'); % distorted images of pattern 0 -d_0_1_orig = distort_image(p0,0.05); -d_0_2_orig = distort_image(p0,0.1); -d_0_3_orig = distort_image(p0,0.25); -d_0_1 = d_0_1_orig; -d_0_2 = d_0_2_orig; -d_0_3 = d_0_3_orig; +d_0_1 = distort_image(p0,0.05); d_0_2 = distort_image(p0,0.1); d_0_3 = distort_image(p0,0.25); % distorted images of pattern 1 -d_1_1_orig = distort_image(p1,0.05); -d_1_2_orig = distort_image(p1,0.1); -d_1_3_orig = distort_image(p1,0.25); -d_1_1 = d_1_1_orig; -d_1_2 = d_1_2_orig; -d_1_3 = d_1_3_orig; +d_1_1 = distort_image(p1,0.05); d_1_2 = distort_image(p1,0.1); d_1_3 = distort_image(p1,0.25); % distorted images of pattern 2 -d_2_1_orig = distort_image(p2,0.05); -d_2_2_orig = distort_image(p2,0.1); -d_2_3_orig = distort_image(p2,0.25); -d_2_1 = d_2_1_orig; -d_2_2 = d_2_2_orig; -d_2_3 = d_2_3_orig; -%imagesc([reshape(d_0_1,32,32) reshape(d_0_2,32,32) reshape(d_0_3,32,32)]); +d_2_1 = distort_image(p2,0.05); d_2_2 = distort_image(p2,0.1); d_2_3 = distort_image(p2,0.25); eps = 1; - -% (1) storage phase (learning) +%% (1) storage phase (learning) P = [p0';p1';p2']; W = 1/1024 * (P' * P); for i=1:1024 @@ -37,13 +20,14 @@ end I = ones(1024,1)*0.5; % bias -% (2) retrieval phase -% (2.1) initialization -O = [d_0_1_orig';d_0_2_orig';d_0_3_orig';d_1_1_orig';d_1_2_orig';d_1_3_orig';d_2_1_orig';d_2_2_orig';d_2_3_orig']; % original images -D = [d_0_1';d_0_2';d_0_3';d_1_1';d_1_2';d_1_3';d_2_1';d_2_2';d_2_3']; % distorted images +%% (2) retrieval phase +%% (2.1) initialization +O = [d_0_1';d_0_2';d_0_3';d_1_1';d_1_2';d_1_3';d_2_1';d_2_2';d_2_3']; % original images +D = O; % distorted images L = [[0,0.05];[0,0.10];[0,0.25];[1,0.05];[1,0.10];[1,0.25];[2,0.05];[2,0.10];[2,0.25]]; % patterns info -Ps = [p0';p0';p0';p1';p1';p1';p2';p2';p2']; +Ps = [p0';p0';p0';p1';p1';p1';p2';p2';p2']; % patterns of each distorted images +% for each pattern distortions for p=1:size(D,1) epoch = 1; overlaps = []; @@ -51,9 +35,9 @@ pattern_num = L(p,1); pattern_distortion = L(p,2); energy_old = energy(W, I, D(p,:)); - % (2.2) iteration until convergence + %% (2.2) iteration until convergence while 1 - % (2.3) choose i random neuron + %% (2.3) choose i random neuron for i=randperm(1024) D(p,i) = sign(W(i,:) * D(p,:)' + I(i)); overlaps = horzcat(overlaps,[overlap(p0, D(p,:)) overlap(p1, D(p,:)) overlap(p2, D(p,:))]'); @@ -69,6 +53,7 @@ epoch = epoch + 1; end + %% plottings disp('Saving figures . . .'); fig = figure; hold on; @@ -76,15 +61,15 @@ plot((1:size(overlaps,2)),overlaps(2,:)); plot((1:size(overlaps,2)),overlaps(3,:)); title(sprintf('Overlaps (pattern=%d, distortion=%0.2f)',pattern_num,pattern_distortion)); - xlabel('ticks') + xlabel('ticks'); ylabel('overlap function'); - legend('overlap with pattern 0','overlap with pattern 1','overlap with pattern 2'); + legend({'overlap with pattern 0','overlap with pattern 1','overlap with pattern 2'},'Location','southeast'); print(fig,sprintf('images/distorted_%d_%0.2f_overlap.png',pattern_num,pattern_distortion),'-dpng'); hold off; fig = figure; plot((1:size(energies,2)),energies(1,:)); title(sprintf('Energy (pattern=%d, distortion=%0.2f)',pattern_num,pattern_distortion)); - xlabel('ticks') + xlabel('ticks'); ylabel('energy'); print(fig,sprintf('images/distorted_%d_%0.2f_energy.png',pattern_num,pattern_distortion),'-dpng'); fig = figure; @@ -93,7 +78,6 @@ print(fig,sprintf('images/distorted_%d_%0.2f_reconstructed.png',pattern_num,pattern_distortion),'-dpng'); end - 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