A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural Networks
A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural Networks
Transfer Learning (TL) plays a crucial role when a given dataset has insufficient labeled examples to train an accurate model. In such scenarios, the knowledge accumulated within a model pre-trained on a source dataset can be transferred to a target dataset, resulting in the improvement of the target model. Though …