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.
What you'll learn
train a Bidirectional Neural Network model
develop an LSTM-based deep learning system
apply machine learning techniques to real-world news datasets
Course objectives
to enable automated detection of fake news
to provide practical skills applicable in the media industry