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[![Build Status](https://travis-ci.org/foss-for-synopsys-dwc-arc-processors/synopsys-caffe.svg?branch=master)](https://travis-ci.org/foss-for-synopsys-dwc-arc-processors/synopsys-caffe)
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Synopsys Caffe is a modified version of the popular [Caffe Deep Learning framework](http://caffe.berkeleyvision.org/) adapted for use with DesignWare EV6x Processors.
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Synopsys Caffe is a modified version of the popular [Caffe Deep Learning framework](http://caffe.berkeleyvision.org/) adapted for use with DesignWare EV Family of Processors.
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It combines multiple customized branches and includes a large range of patches to support diverse models. See [FEATURES.md](https://github.com/foss-for-synopsys-dwc-arc-processors/synopsys-caffe/blob/master/FEATURES.md) for a short overview.
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## Installation
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Other detailed installation instructions can be found [here](https://github.com/BVLC/caffe/blob/windows/README.md).
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## Reference for different Distributions
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Synopsys Caffe support the features introduced in following customized branches. Here are some links to the original demos, tutorials and models usage:
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Synopsys Caffe supports the features introduced in following customized branches. Here are some links to the original demos, tutorials and models usage:
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- [SegNet](https://github.com/alexgkendall/caffe-segnet)
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- [Faster RCNN](https://github.com/rbgirshick/py-faster-rcnn)
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- [SSD](https://github.com/weiliu89/caffe/tree/ssd)

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