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DeepHumor tries to find out whether Deep Neural Networks are capable of understanding human humor by learning Gary Larson's cartoons. This diploma thesis consists of pre-processing an existing collection of more than 2000 cartoons, training multiple convolutional neural networks to understand the visual component and also training multiple recur…
metzzo/deephumor
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# DeepHumor ## Preprocessor Install the requirements using make install Run tests using make test Make sure to have Tesseract installed for OCR. Using Python 3.6 (recommended virtualenv) Or use Anaconda: conda config --add channels conda-forge conda config --add channels phygbu conda activate C:\Users\rfischer\Miniconda3\envs\DeepHumor ## Folders /rnn contains the experiments related to the text based models /pipeline contains the experiments related to the CNN based models /documentation contains the documentation assets /annotator contains the annotator app written to annotate the cartoons
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DeepHumor tries to find out whether Deep Neural Networks are capable of understanding human humor by learning Gary Larson's cartoons. This diploma thesis consists of pre-processing an existing collection of more than 2000 cartoons, training multiple convolutional neural networks to understand the visual component and also training multiple recur…
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