no code implementations • 2 Oct 2017 • Thomas Epelbaum, Fabrice Gamboa, Jean-Michel Loubes, Jessica Martin
In this paper, we propose deep learning architectures (FNN, CNN and LSTM) to forecast a regression model for time dependent data.
no code implementations • 5 Sep 2017 • Thomas Epelbaum
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.