This directory contains 5 workflows.
01_caption_preprocessing In this workflow we use simple textprocessing techniques to reduce the complexity of the captions used for training. This will […]
01_caption_preprocessing In this workflow we create image feature vectors for each image in the training data using a pretrained InceptionV3 […]
01_caption_preprocessing In this workflow we look-up a GLOVE embedding vector (https://nlp.stanford.edu/projects/glove/) for each word in our caption […]
01_caption_preprocessing After we cleaned the training captions and pre-calculated image-/word- features, the caption network can be trained. In this […]
01_caption_preprocessing In the last workflow of this series, we predict the captions of the images in our test sample. This can be done using a similar […]
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