LSTM with Keras & TensorFlow
LSTM with Keras & TensorFlow
Abstract
The aim of this tutorial is to show the use of TensorFlow with KERAS for classification and prediction in Time Series Analysis. The latter just implement a Long Short Term Memory (LSTM) model (an instance of a Recurrent Neural Network which avoids the vanishing gradient problem).
About the speaker
Stefano Cabras born in Cagliari (Sardinia, Italy) in 1974. In 1999 and in 2004 he obtained his PhD in Statistics at the University of Florence. During this period he visited the Department of Statistics at the Carnegie Mellon University (Pittsburgh-PA, USA) where he obtained in 2003 the Master in Statistics. Since 2005 he is Associate Professor at University of Cagliari (in leave) and since 2018 at Universidad Carlos III de Madrid after being Ramón y Cajal Professor. His research topics in Statistics concern either theoretical aspects along with applications to several scientific fields.
