Objectives → By end of this, you will be able to use

  • Various Pre-trained NLP Models from TensorFlow Hub (thub.dev)
  • Use transfer learning to fine tune text data
  • Visualize Model Performance metric with Tensorboard
Image 01: Example of using pre-trained model in Keras

Problem Statement → Detect Toxic Comment (Quora Insincere Questions Classification)

!nvidia-smi → Command to tell GPU status

This article contains some good links to start building your understanding for “Transfer Learning in NLP”. Keep checking this article for updates.

Last updated on: 10-July-2020


  1. By Madison May (PPT: https://www.slideshare.net/indicods/odsc-east-effective-transfer-learning-for-nlp) (Video: https://www.youtube.com/watch?v=LwwqOsFqA28)
  2. By Sebastian (PPT: https://docs.google.com/presentation/d/1fIhGikFPnb7G5kr58OvYC3GN4io7MznnM0aAgadvJfc/edit#slide=id.g5888218f39_41_335) …
Image 1: Screenshot of QA System on Corona


In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Data-set (CORD-19). CORD-19 includes over 40,000 scholarly articles with full text, about COVID-19, SARS-CoV-2, and related corona viruses (https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge). …

Aakash Goel

Senior Data Scientist @ Fractal Analytics

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