Pocket AutoML: No-Code On-Device Deep Learning

Pocket AutoML: No-Code On-Device Deep Learning

Ferramentas | Evgeniy Mamchenko

Jogue no PC com BlueStacks - A Plataforma de Jogos Android, confiada por mais de 500 milhões de jogadores.

Página modificada em: 22 de agosto de 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).

Jogue Pocket AutoML: No-Code On-Device Deep Learning no PC. É fácil começar.

  • Baixe e instale o BlueStacks no seu PC

  • Conclua o login do Google para acessar a Play Store ou faça isso mais tarde

  • Procure por Pocket AutoML: No-Code On-Device Deep Learning na barra de pesquisa no canto superior direito

  • Clique para instalar Pocket AutoML: No-Code On-Device Deep Learning a partir dos resultados da pesquisa

  • Conclua o login do Google (caso você pulou a etapa 2) para instalar o Pocket AutoML: No-Code On-Device Deep Learning

  • Clique no ícone do Pocket AutoML: No-Code On-Device Deep Learning na tela inicial para começar a jogar

Assistir o Vídeo