In this hands-on project, we will train a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus. This project could be practically used by any media company to automatically predict whether the circulating news is fake or not. The process could be done automatically without having humans manually review thousands of news related articles.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Overview
Syllabus
- NLP Fake News Detector
- In this hands-on project, we will train a Long Short Term Memory (LSTM) network to detect fake news from a given news corpus. This project could be practically used by media companies to automatically predict whether the circulating news is fake or not. The process could be done automatically without having humans manually review thousands of news-related articles.
Taught by
Ryan Ahmed
