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Project Summary

Compute Library for Deep Neural Networks (clDNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL inference on Intel® HD Graphics Driver and Intel® Iris® graphics (also referred to as Intel® Processor Graphics).

clDNN includes highly optimized building blocks to implement convolutional neural networks (CNN) with C and C++ interfaces.

We recently introduced the Intel Deep-Learning Deployment Toolkit, as part of the Intel Computer-Vision SDK to provide application developers an easy way to use the DL acceleration capabilities of Intel® Processor Graphics.

Tags

c++ deep_learning dnn GPU Intel

Apache License, Version 2.0
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Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Languages?height=75&width=75
C++
91%
C
7%
5 Other
2%

30 Day Summary

Feb 29 2020 — Mar 30 2020

12 Month Summary

Mar 30 2019 — Mar 30 2020
  • 20 Commits
    Down -19 (48%) from previous 12 months
  • 4 Contributors
    Down -4 (50%) from previous 12 months