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Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Autor Gennady F. (Blackbelt) Última actualización 05/07/2019 - 14:54
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Archived - Project template to develop C# Class Library using Intel® RealSense™

The Intel® RealSense™ SDK has been discontinued. No ongoing support or updates will be available.

Autor Última actualización 23/06/2019 - 18:50