Counterfactual data augmentation to speed up NLP data labeling As algorithms grow more complex, they also grow hungry for more data, to be able to learn precisely the meaning of the sentence. In Text Classification task for example, the variety of words encountered allows for a much more resilient algorithm, especially when in production with … Continue reading Counterfactual data augmentation to speed up NLP data labeling
Month: August 2020
Active learning for object detection In this tutorial, we will see results of active learning applied to object detection. It is no secret that machine learning models, especially deep learning models, need lots of training data. In the real world, unsupervised data is plenty while supervised data is rare and costly to obtain. Thus, you … Continue reading Active Learning for Object Detection