Pocket AutoML: No-Code On-Device Deep Learning

Pocket AutoML: No-Code On-Device Deep Learning

도구 | Evgeniy Mamchenko

5억명 이상의 게이머가 신뢰하는 안드로이드 게임 플랫폼 BlueStacks으로 PC에서 플레이하세요.

페이지 수정 날짜: 2021년 8월 22일

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).

PC에서 Pocket AutoML: No-Code On-Device Deep Learning 플레이해보세요.

  • BlueStacks 다운로드하고 설치

  • Google Play 스토어에 로그인 하기(나중에 진행가능)

  • 오른쪽 상단 코너에 Pocket AutoML: No-Code On-Device Deep Learning 검색

  • 검색 결과 중 Pocket AutoML: No-Code On-Device Deep Learning 선택하여 설치

  • 구글 로그인 진행(만약 2단계를 지나갔을 경우) 후 Pocket AutoML: No-Code On-Device Deep Learning 설치

  • 메인 홈화면에서 Pocket AutoML: No-Code On-Device Deep Learning 선택하여 실행

비디오