Pocket AutoML: No-Code On-Device Deep Learning

Pocket AutoML: No-Code On-Device Deep Learning

Narzędzia | Evgeniy Mamchenko

Graj na PC z BlueStacks – Platforma gamingowa Android, która uzyskała zaufanie ponad 500 milionów graczy!

Strona zmodyfikowana w dniu: 22 sierpnia 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).

Zagraj w Pocket AutoML: No-Code On-Device Deep Learning na PC. To takie proste.

  • Pobierz i zainstaluj BlueStacks na PC

  • Zakończ pomyślnie ustawienie Google, aby otrzymać dostęp do sklepu Play, albo zrób to później.

  • Wyszukaj Pocket AutoML: No-Code On-Device Deep Learning w pasku wyszukiwania w prawym górnym rogu.

  • Kliknij, aby zainstalować Pocket AutoML: No-Code On-Device Deep Learning z wyników wyszukiwania

  • Ukończ pomyślnie rejestrację Google (jeśli krok 2 został pominięty) aby zainstalować Pocket AutoML: No-Code On-Device Deep Learning

  • Klinij w ikonę Pocket AutoML: No-Code On-Device Deep Learning na ekranie startowym, aby zacząć grę

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