Pocket AutoML: No-Code On-Device Deep Learning

Pocket AutoML: No-Code On-Device Deep Learning

Tools | Evgeniy Mamchenko

Play on PC with BlueStacks – the Android Gaming Platform, trusted by 500M+ gamers.

Page Modified on: August 22, 2021

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).

Play Pocket AutoML: No-Code On-Device Deep Learning on PC. It’s easy to get started.

  • Download and install BlueStacks on your PC

  • Complete Google sign-in to access the Play Store, or do it later

  • Look for Pocket AutoML: No-Code On-Device Deep Learning in the search bar at the top right corner

  • Click to install Pocket AutoML: No-Code On-Device Deep Learning from the search results

  • Complete Google sign-in (if you skipped step 2) to install Pocket AutoML: No-Code On-Device Deep Learning

  • Click the Pocket AutoML: No-Code On-Device Deep Learning icon on the home screen to start playing

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