Resources for specific applications of our Data Center products.
An Open Source FPGA CNN Library (ad-an-0055)
Convolutional neural networks have become the core component of a large number of hyperscale deployed machine learning algorithms used in image and vision recognition tasks. Low-bitwidth FPGA implementations of these networks provide a potential path to higher throughput and lower power machine learning inference solutions.
One purpose of this toolbox is to provide an easy path for developers to investigate the accuracy implications of switching from floating point defined network weights to low bitwidth fixed point weights on each of the layers making up the network.
Another purpose of this toolbox is to provide tools and knowledge for comparing network structure and size with on-chip memory and processing capabilities of FPGAs to aid in optimal device selection.
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