Jason Knight
Deep-dive into Intel’s software developer tools portfolio for Deep Learning and Machine Learning.
Michael Steyer
Overview of the Foundation for Machine Learning performance on Intel Microprocessors – Intel® MKL, Intel® DAAL, Intel® MKL-DNN & Intel® MLSL.
Michael Steyer, Vishnu Madhu
Get started with the implicit use of Intel’s optimized Machine Learning libraries underneath NumPy & scikit-learn using the Intel® Distribution for Python.
Atanas Atanasov, Sarosh Quraishi, Shailen Sobhee
Jason Knight, Séverine Habert, Michael Steyer, Vishnu Madhu, Sarosh Quraishi, Shailen Shobee, Atanas Atanasov
In this hands-on session, we explore how we improve the performance of Tensorflow with Intel-optimized performance libraries and how we scale Tensorflow on distributed systems.
Séverine Habert, Vishnu Madhu
Walking through the OpenVINO™ pipeline from trained models (Caffe and Tensorflow) to Inference on Intel® hardware.