Multi-Class text classification using only few labeled examples | GAN-BERT Explained
Obtaining sufficient number of high quality annotated data for training large deep learning framework such as BERT, is very difficult in real life scenarios. In this video, a new approach has been explained, which overcomes the limitations for training BERT model using only bunch of labeled data by leveraging Semi Supervised Generative Adversarial Network.
link to the paper - https://www.aclweb.org/anthology/2020...
Link to the Python implementation video - • GANBERT for sentiment analysis (Multi-Clas...
En esta página del sitio puede ver el video en línea Multi-Class text classification using only few labeled examples | GAN-BERT Explained de Duración hora minuto segunda en buena calidad , que subió el usuario Sayantan Adak | PhD Life & Learning 21 junio 2021, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 2,588 veces y le gustó 43 a los espectadores. Disfruta viendo!
