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Topic recognition #143
base: topic-recognition
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Topic recognition #143
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…l getting 50% accuracy...
…ls each batch, rotate the images and use L2 regularization
…~70% test accuracy
Moved from jupyer notebook to python files, changed to Random Forest Classifier
Moved to correct folder
Results images
More images
This is an initial inspection, no action is required at this point Difficulty: Hard Readme: Poor
Commit messages: OK, very few and very brief Code:
Functionality/Performance:
General comments:
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MarkingGood Practice (Design/Commenting, TF/Torch Usage)Adequate design and implementation Recognition ProblemSolves problem, poor performance -1 Commit LogMeaningful commit messages DocumentationReadMe OK, no usage, no refs -2 Pull RequestSuccessful Pull Request (Working Algorithm Delivered on Time in Correct Branch) |
Feedback marks possible +2 if the requested changes are made (see above). |
No feedback attempt and no feedback marks granted. |
This is a Triplet Siamese Classifier for the ADNI dataset to classifier Alzheimer's disease