Talk - Farzad Qassemi: Practical introduction to classical and quantum machine learning

01.10.2018 | Mette Alstrup Lie

Dato fre 05 okt
Tid 11:00 12:00
Sted 1520-737

Farzad Qassemi
Shahid Beheshti University, Tehran

Title: Practical introduction to classical and quantum machine learning

Abs: In this talk, first I focus on classical machine learning presenting generative recurrent NN (RNN), such as text generation using LSTM. Then going over possible applications of LSTM in time series prediction. Finally, I briefly discuss how to use a quantum optimizer, such as DWave, for machine learning problems.

Coffee/cake will be served at 11.00.

Institut for Fysik og Astronomi, Offentligheden / Pressen