Brussels / 4 & 5 February 2017

schedule

Tensor Processing and Machine Learning for Signal Processing

Functional Algorithm Definition and Concurrent Automation


This talk will discuss the applicability and potential of tensor processing methods for signal processing algorithm implementation. It will consider both machine learning and non-machine learning signal processing applications and discuss how they can be efficiently implemented with TensorFlow and used quickly in conjunction with GNU Radio.

Speakers

Photo of Tim O’Shea Tim O’Shea

Links