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基于转移学习的资源受限设备自动模型创建工具

上传者: 2021-01-22 04:12:53上传 .PDF文件 540.18 KB 热度 4次

随着机器学习的增强,正在设计许多工具来帮助开发人员轻松创建他们的机器学习模型。在本文中,我们提出了一种新颖的方法,可以使用转移学习自动创建约束设备的此类自定义模型,而无需编写任何机器学习代码。..

Transfer Learning Based Automatic Model Creation Tool For Resource Constraint Devices

With the enhancement of Machine Learning, many tools are being designed to assist developers to easily create their Machine Learning models. In this paper, we propose a novel method for auto creation of such custom models for constraint devices using transfer learning without the need to write any machine learning code.We share the architecture of our automatic model creation tool and the CNN Model created by it using pretrained models such as YAMNet and MobileNetV2 as feature extractors. Finally, we demonstrate accuracy and memory footprint of the model created from the tool by creating an Automatic Image and Audio classifier and report the results of our experiments using Stanford Cars and ESC-50 dataset.

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