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文件大小: 30mb
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上传时间: 2018-09-04
详细说明： 官方版，In MMdnn, we focus on helping user handle their work better. Find model We provide a model collection to help you find some popular models. We provide a model visualizer to display the network architecture more intuitively. Conversion We implement an universal convertor to convert DNN models between frameworks, which means you can train on one framework and deploy on another. Retrain In convertor, we can generate some training/inference code snippet to simplify the retrain/evaluate work. Deployment We provide some guide lines to help you deploy your models to other hardware platform. Android Serving This project is designed and developed by Microsoft Research (MSR). We also encourage researchers and students leverage this project to analysis DNN models and we welcome any new ideas to extend this project. Installation Install manually You can get stable version of MMdnn by pip install mmdnn or you can try the newest version by pip install -U git+https://github.com/Microsoft/MMdnn.git@master Install with docker image MMdnn provides a docker image, which packaged mmdnn, deep learning frameworks we supported and other dependencies in one image. You can easily get the image in several steps: Install Docker Community Edition(CE) Learn more about how to install docker Pull MMdnn docker image docker pull mmdnn/mmdnn:cpu.small Run image in interactive mode docker run -it mmdnn/mmdnn:cpu.small Features ...展开收缩
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