Alexander Kozlov
Deep Learning Engineer, Internet of Things Group
Alexander is a Deep Learning Engineer at Intel. Before Intel he was a researcher at Itseez (now acquired by Intel) where he was working on Computer VIsion algorithms for ADAS systems. Now Alexander focuses on DNN compression methods and tools which allow getting more lightweight and hardware-friendly models.
Expertise:
- Architecture
- Computer Vision
- ML Algo and Theory
-
Improving DL Performance Using Binary Convolution Support in…
Convolutional neural networks (CNNs) are a class of deep neural networks often used to analyze visual imagery. The performance of…