Pocket AutoML: No-Code On-Device Deep Learning

Pocket AutoML: No-Code On-Device Deep Learning

工具 | Evgeniy Mamchenko

在電腦上使用BlueStacks –受到5億以上的遊戲玩家所信任的Android遊戲平台。

網頁修改於: 2021年8月22日

Play Pocket AutoML: No-Code On-Device Deep Learning on PC

• Pocket AutoML lets artificial intelligence enthusiasts even without prior machine learning experience train a deep learning image classification model (a convolutional neural network) right on their devices and experiment with it.
• It can export models it in TensorFlow Lite format so a user can make a custom Android app based on it following the provided tutorial.
• Computer vision or deep learning professionals can also use it as a tool to create a quick proof-of-concept for transfer learning on their tasks without a single line of code.
• It trains a model right on on your device in seconds (for a dataset with dozens of images).
• It respects your privacy: your images are never uploaded anywhere as both training and prediction happens on your device.
• It does not need an internet connection for training and predicting.
• Just few images per class can be enough to train a model that accurately classifies objects (what is known as few-shot learning).

在電腦上遊玩Pocket AutoML: No-Code On-Device Deep Learning . 輕易上手.

  • 在您的電腦上下載並安裝BlueStacks

  • 完成Google登入後即可訪問Play商店,或等你需要訪問Play商店十再登入

  • 在右上角的搜索欄中尋找 Pocket AutoML: No-Code On-Device Deep Learning

  • 點擊以從搜索結果中安裝 Pocket AutoML: No-Code On-Device Deep Learning

  • 完成Google登入(如果您跳過了步驟2),以安裝 Pocket AutoML: No-Code On-Device Deep Learning

  • 在首頁畫面中點擊 Pocket AutoML: No-Code On-Device Deep Learning 圖標來啟動遊戲

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