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8b26371dab
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Final report revisions
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2024-05-11 21:39:29 -04:00 |
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fd8fa12e75
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Finished report and impact statements
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2024-05-08 21:04:06 -04:00 |
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a9fcfe6921
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Started IPCS
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2024-05-05 20:02:34 -04:00 |
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1cfd02843a
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Finished poster
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2024-05-01 18:34:23 -04:00 |
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87b6773ab6
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Created references pdf
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2024-05-01 18:11:38 -04:00 |
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Aidan Sharpe
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3893b3256f
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Anything to commit?
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2024-05-01 14:57:35 -04:00 |
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Aidan Sharpe
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7683c9118c
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Poster exported as PDF
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2024-05-01 12:47:58 -04:00 |
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Aidan Sharpe
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8e2f04fa09
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Edits to definitions in evaluation section
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2024-05-01 12:40:54 -04:00 |
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Aidan Sharpe
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b045bc716e
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Fixed accuracy equation
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2024-05-01 12:14:35 -04:00 |
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Aidan Sharpe
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0ba4e489bb
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Added pseudocode to poster, fixed MNIST results not showing 0 strength
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2024-05-01 11:17:42 -04:00 |
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Aidan Sharpe
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ac1272e123
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Added Rowan brand standards as reference
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2024-05-01 02:10:28 -04:00 |
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Aidan Sharpe
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0e94757c07
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Poster basically done, finished organizing directory structure
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2024-05-01 02:09:27 -04:00 |
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Aidan Sharpe
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fd6e4f32a4
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More references
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2024-05-01 01:34:42 -04:00 |
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Aidan Sharpe
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008ef906d7
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Directory structure overhaul, poster almost done
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2024-05-01 01:26:25 -04:00 |
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Aidan Sharpe
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bf2440ef86
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Results successfully displayed as matplotlib bar3d
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2024-04-30 23:02:14 -04:00 |
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b473ddc8e9
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Poster very much in the works. Display results working well
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2024-04-29 17:30:57 -04:00 |
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54ed4466bc
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Trained VGG16 on CIFAR-10, displayed results
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2024-04-28 11:19:06 -04:00 |
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Aidan Sharpe
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2f0a6fc919
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No success with adjusting CNN, set up VGG-16
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2024-04-25 14:41:00 -04:00 |
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6c4723a633
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Implemented LeNet for CIFAR-10
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2024-04-25 11:57:14 -04:00 |
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343958653e
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Trained DLA on CIFAR-10 for 14 epochs. Achieved 82% accuracy
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2024-04-25 08:36:38 -04:00 |
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b4a1aee0db
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Trained CIFAR-10 CNN, 60% accuracy, switching to DLA
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2024-04-24 21:24:48 -04:00 |
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Aidan Sharpe
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1f289157e2
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Converted old results to JSON format with metadata
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2024-04-24 18:12:24 -04:00 |
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610d8b8678
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got data for fgsm mnist, working on displaying it
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2024-04-24 12:16:09 -04:00 |
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5c911219b9
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Debugged code to run in background
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2024-04-23 17:12:30 -04:00 |
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Aidan Sharpe
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541a3b0850
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Loop over all filters and serialize results
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2024-04-23 13:48:33 -04:00 |
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Aidan Sharpe
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3c35a2bc02
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Finished testing random noise and threshold filter
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2024-04-18 15:58:30 -04:00 |
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Aidan Sharpe
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35fc6dd2e5
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Figure saving with proper size
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2024-04-18 13:51:31 -04:00 |
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04cf5cb9bc
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Completeted bilateral filter variable radius analysis
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2024-04-16 12:35:35 -04:00 |
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26758224b7
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Tested performance with varying radii for Gaussian and Mean Kuwahara Filter
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2024-04-11 16:56:51 -04:00 |
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Aidan Sharpe
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90915efb7e
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Fixed error with counting correct predictions when using filters
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2024-04-11 15:11:32 -04:00 |
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Aidan Sharpe
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7430ddac94
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Modular filtering tested and working with varying filter strengths
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2024-04-11 14:24:48 -04:00 |
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ab4460aeeb
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Moved filtering functions into separate module
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2024-04-10 20:15:11 -04:00 |
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Aidan Sharpe
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df7ac8b236
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Decreased epsilon step size to 0.025
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2024-04-10 12:23:55 -04:00 |
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Aidan Sharpe
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56da2ea4eb
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Made raw program output easier to read; completed unfinished table of results
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2024-04-07 12:08:48 -04:00 |
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Aidan Sharpe
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8f264f7958
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1-Bit, color snapping, and pluality vote accuracies
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2024-04-07 12:04:46 -04:00 |
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Aidan Sharpe
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30d8766e69
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New implementation of color snapping
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2024-04-06 22:31:31 -04:00 |
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Aidan Sharpe
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afd810a802
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Implemented reduced color space (snapped color) filter
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2024-04-05 17:18:25 -04:00 |
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Aidan Sharpe
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47b14362de
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Various filters defending unmodified mnist cnn classifier
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2024-04-04 15:12:14 -04:00 |
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Aidan Sharpe
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d0a09e839f
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Models trained with various filters; kuwahara filter defense
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2024-04-04 13:50:35 -04:00 |
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c0372d8e8f
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Tested models with filtered and unfiltered training data
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2024-03-05 13:31:22 -05:00 |
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b36fd83da4
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Moved to separate project on Gitea
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2024-02-22 13:39:09 -05:00 |
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