Transfer Learning using Feature Extraction from Trained model: Food Images Classification

transfer learning neural networks

The idea of transfer learning comes from a curious phenomenon that many deep neural networks trained on natural images learn similar features. These are texture, corners, edges and color blobs in the initial layers. Such […]


Training Deep Learning based Named Entity Recognition from Scratch : Disease Extraction Hackathon

Named-entity recognition (NER) (also known as entity extraction) is a sub-task of information extraction that seeks to locate and classify named entity mentions in unstructured text into pre-defined categories such as the person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, […]