GIDS.AI/ML&Data Live 2020
In this talk, I have discussed about the Deep Hybrid Learning framework. In Deep Hybrid Learning, we will primarily use Deep Learning methods to generate or extract features from unstructured data and use classical Machine Learning approaches to build highly accurate classification models using the unstructured data. Deep Hybrid Learning (DHL) can take the benefits from both DL and ML and alleviate the drawbacks of both techniques to provide a more accurate and less computationally expensive solutions.
The session code can be downloaded from here: https://github.com/adib0073/NUMODRIL
The session slides can be downloaded from here: https://www.slideshare.net/AdityaBhattacharya5?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideview