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Getting Started with Xilinx ML Suite
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README.md

Xilinx ML Suite v1.5

The Xilinx Machine Learning (ML) Suite provides users with the tools to develop and deploy Machine Learning applications for Real-time Inference. It provides support for many common machine learning frameworks such as Caffe, Tensorflow, and MXNet.

The ML Suite is composed of three basic parts:

  1. ML Framework and Open Source Support - Support for high level ML Frameworks and other open source projects.
  2. xfDNN Middleware - Software Library and Tools to Interface with ML Frameworks and optimize networks for Real-time Inference.
  3. xDNN IP - High Performance CNN processing engine.

Learn More: ML Suite Overview
Watch: Webinar on Xilinx FPGA Accelerated Inference
Forum: ML Suite Forum

See What's New

  • Release Notes
  • Integration of Deephi DECENT Quantizer for TensorFlow
  • TensorFlow Jupyter Notebook
  • TensorFlow Command Line Examples
  • New precompiled Face Detection example applied to video
  • Ease of use enhancements
    • Docker Images for both Caffe and Tensorflow
    • Can run directly on the FPGA using Caffe or Tensorflow

Getting Started

References

System Requirements

Questions and Support

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