Transfer Learning using Fine Tuning of Trained model: Food Images Classification

transfer learning neural networks

In the previous blog-post, we demonstrated transfer learning using feature extraction technique and training a classifier further from the generated features. One of the strategy for transfer learning is to not only replace and retrain […]

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, […]