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Created with Raphaël 2.2.030Sep21111031Aug2725Upload previously missing requirements.txtmastermasterFix small style issueAdd cold fusion model and clean up of general structure as well as clean up of commentsAdd project report pdfAdd pre-trained checkpoints for the two models that can be loaded in ocr_fusion.ipynbAdd the two final runs of the models' training so so that the loss curves and CER/WER plots on the validation set can be viewed via tensorboardAdd sections on purpose, directory structure, usage, requirements and resultsAdd inference functionalityAdd csv file creation, data loading and training loopAdd .csv files that correctly transcribe the respective images of the respective data splitTesting .gitignoreAdd structure for preprocessing of images from dataset such that they all have the same size (as mandated by ResNet)Remove moved files from datasetAdd .ipynb checkpoint filesUpdate .txt with file extensions as means to sort into train, val and test dataReorganize files to test, train and validation sets (val_1 and val_2)Add initial jupyter notebook and add char-based LM with logit outputAdd initial data for evaluationAdd .gitignore so that macOS folder file is ignoredAdd LICENSEInitial commit