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Created with Raphaël 2.2.021Feb131098765Final version. Cleaned up stuff and made better visualization. Also added Task 3.3.mastermasterFixed several minor bugs. Polished day 3. Added dropout to convolutionl layers.Improved readability and documentation.Fixed data path detection in the first two days.Added batchification.Removed logging data. Added pretty time printing. Added plots for tensorboard. Grouped variables for beter overview.Added epochal training. Trained a network about all 43 classesin the log folder.Improved network generation.Implemented CNN with one convolution and one fcl layer with tensorflow and gpu training.For the day 2 tasks: Added automatic coloring of scatter plot. Improced variable naming, readability and comments. Fixed a bug in the presentation of misclassified images.Finished day 2 tasksSuccessfully applied PCA to data.Refactored common functionality into a utility library.Added classification feedbacksolved points 1-6 of 10 from the exercise sheet.Create LICENSECreate LICENSEadd-license-1add-license-1Create README.mdInitial commit.