AI News, DSSTNE: A New Deep Learning Framework for Large Sparse Datasets

DSSTNE: A New Deep Learning Framework for Large Sparse Datasets

REGISTER HERE ON EVENTBRITE DATE AND TIME Speaker: Scott Le Grand This talk is a gentle introduction to Amazon open sourced deep learning library DSSTNE.

The creation of DSSTNE is motivated by the massive scale and low latency computing needed for Amazon scale catalog and recommendation production problem.

He will also briefly introduce DSSTNE’s API and how it can be used to easily reproduce the state of art deep nets topologies e.g. Alex Net.  This talk also includes DSSTNE’s performance compared to TensorFlow and compared to other machine learning algorithms on benchmark datasets.

Besides the creation of DSSTNE, Scott is also leading the effort of optimizing Deep Neural Network (DNN) performance on GPUs and GPU clusters and applying DSSTNE to general machine learning, deep learning and analytical applications.

DSSTNE: A New Deep Learning Framework For Large Sparse Datasets (Thu, October 27, 2016)

DSSTNE: A New Deep Learning Framework For Large Sparse Datasets (Thu, October 27, 2016) DSSTNE: A New Deep Learning Framework for Large Sparse ...