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Title: GitHub - VectorFist/DeepFlower: 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。借助于tensorfow Lite API，将其部署于android平台，开发出DeepFlower应用。 · GitHub

Open Graph Title: GitHub - VectorFist/DeepFlower: 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。借助于tensorfow Lite API，将其部署于android平台，开发出DeepFlower应用。

X Title: GitHub - VectorFist/DeepFlower: 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。借助于tensorfow Lite API，将其部署于android平台，开发出DeepFlower应用。

Description: 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。借助于tensorfow Lite API，将其部署于android平台，开发出DeepFlower应用。 - VectorFist/DeepFlower

Open Graph Description: 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。借助于tensorfow Lite API，将其部署于android平台，开发出DeepFlower应用。 - VectorFist/DeepFlower

X Description: 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。借助于tensorfow Lite API，将其部署于android平台，开发出DeepFlower应用。 - VectorFist/DeepFlower

Opengraph URL: https://github.com/VectorFist/DeepFlower

X: @github

direct link

Domain: github.com

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og:image:alt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。借助于tensorfow Lite API，将其部署于android平台，开发出DeepFlower应用。 - VectorFist/DeepFlower
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