Skip to content

Latest commit

 

History

History
19 lines (10 loc) · 733 Bytes

README.md

File metadata and controls

19 lines (10 loc) · 733 Bytes

Project for the course Deep Learning from Maria Vakalopoulou and Vincent Lepetit.

This work was made by Paul Martin (ENPC) and Samuel Diai (ENPC).

The project is about weather forecasting using Attention based encoder decoders.

It is based on the paper : "A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction" by Yao and Al.

Architecture Used (extracted from the Article) da_rnn

Some results of predictions :

clean_forecast

It contains the code and the final report.