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SemanticHashing

Creation of a new dataset. Documents encoded using TF-IDF with vocabulary size of 17500:

Create a new dataset

Creation of a new VDSH model. User specifies model properties. After clicking 'Create model' parameters are saved to be later used in training:

Create a new model

Training a model with specified train dataset. User can change train parameters. Progress is monitored with progress bar thanks to keras.callbacks.Callback:

Train panel

Search panel allowing the user to use previously trained model to run similiarity search across documents from specified directory:

Run search panel

Example search results:

Search results

Testing model precision:

Model metrics

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