Comprehensive-Analysis-of-Deep-Learning-Approcahes-for-PM2.5-Forecasting

In this Repository ,We are implementing the different deep learning approaches for time series forcasting . We have tested the Univariate PM2.5 data on four deep learning models namely LSTM ,GRU ,ConvLSTM and also recently emerged Temporal convolutional Networks (TCN) to forecast the PM2.5 data. https://drive.google.com/open?id=18-KQHfplniidHOMiADY0LScS1-l4ouY0 ,the complete details about the approaches and the results are exaplained in the paper.