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Improved U-Net for the ISIC 2018 Skin Lesion Segmentation Dataset - 45293915 #155
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base: topic-recognition
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Improved U-Net for the ISIC 2018 Skin Lesion Segmentation Dataset - 45293915 #155
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…ternAnalysis-2023 into topic-recognition
…loaders and trained for an epoch
…ut folder instead of plotting
…ng, beginning preparations for test set testing
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This is an initial inspection, no action is required at this point
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MarkingGood Practice (Design/Commenting, TF/Torch Usage)Adequate design and implementation Recognition ProblemSolves problem Commit LogMeaningful commit messages DocumentationReadMe acceptable, missing refs -1 Pull RequestSuccessful Pull Request (Working Algorithm Delivered on Time in Correct Branch) |
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Please revert changes to repo README files for merging, does not affect grade only merge. |
Sorry a bit confused, which README file is this in relation to and which changes? (did I modify a README I wasn't supposed to or is this in relation to the README that documents my model?) |
You shouldn't modify the original ReadMe.md files when you first fork Shakes' repository. All student-constructed folders/files, including your own Readme.md for your project, should be packed in one folder under the ‘recognition’ folder. So you need to recover the original README file and move your own readme file into your own folder. |
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No feedback attempt and no feedback marks lost. |
This repository contains the code for the Improved U-Net model for the ISIC 2018 Skin Lesion Segmentation dataset (https://challenge.isic-archive.com/data/#2018). Contains the following files:
Riley Ball | 45293915