Search Results for author: Thomas Epelbaum

Found 2 papers, 0 papers with code

Deep Learning applied to Road Traffic Speed forecasting

no code implementations2 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.

regression

Deep learning: Technical introduction

no code implementations5 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.

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