Deep Learning, Hardware, and TensorFlow
- Speaker: Dr Pete Warden (Google)
- Host: Steve Furber
- 21st September 2016 at 14:00 in KB L.T 1.5
The rise of deep learning as a solution for many audio, image, NLP, and other ML problems and its computationally-intensive nature means that new approaches for hardware have become attractive. This seminar will discuss the work that Google has been doing with TensorFlow to support different platforms, with a focus on ARM and DSP solutions for mobile and embedded deployment of models. Topics will include eight-bit arithmetic, model minimization, and cascade approaches to power minimization.