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# DeepFlower
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通过迁移学习,在MobileNet上再次训练一个自己创建的花卉数据集,该数据集包括24种花卉,共一万多种图片,来自网络抓取。最后测试准确率达85%。借助于tensorfow Lite API,将其部署于android平台,开发出DeepFlower应用。
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- <img width =" 350 " height =" 600 " src =" https://github.com/VectorFist/DeepFlower/blob/master/apk_shortcut/Screenshot_20180313-151829.png " alt =" png1 " /> <img width =" 350 " height =" 600 " src =" https://github.com/VectorFist/DeepFlower/blob/master/apk_shortcut/Screenshot_20180313-151854.png " alt =" png2 " />
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- <img width =" 350 " height =" 600 " src =" https://github.com/VectorFist/DeepFlower/blob/master/apk_shortcut/Screenshot_20180313-151905.png " alt =" png3 " /> <img width =" 350 " height =" 600 " src =" https://github.com/VectorFist/DeepFlower/blob/master/apk_shortcut/Screenshot_20180313-151908.png " alt =" png4 " />
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- <img width =" 350 " height =" 600 " src =" https://github.com/VectorFist/DeepFlower/blob/master/apk_shortcut/Screenshot_20180313-151914.png " alt =" png5 " />
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+ <img width =" 300 " height =" 500 " src =" https://github.com/VectorFist/DeepFlower/blob/master/apk_shortcut/Screenshot_20180313-151829.png " alt =" png1 " /> <img width =" 300 " height =" 500 " src =" https://github.com/VectorFist/DeepFlower/blob/master/apk_shortcut/Screenshot_20180313-151854.png " alt =" png2 " />
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+ <img width =" 300 " height =" 500 " src =" https://github.com/VectorFist/DeepFlower/blob/master/apk_shortcut/Screenshot_20180313-151905.png " alt =" png3 " /> <img width =" 300 " height =" 500 " src =" https://github.com/VectorFist/DeepFlower/blob/master/apk_shortcut/Screenshot_20180313-151908.png " alt =" png4 " />
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+ <img width =" 300 " height =" 500 " src =" https://github.com/VectorFist/DeepFlower/blob/master/apk_shortcut/Screenshot_20180313-151914.png " alt =" png5 " />
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