Pocket AutoML: No-Code On-Device Deep Learning
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Pagina modificata il: 22 agosto 2021
Play Pocket AutoML: No-Code On-Device Deep Learning on PC
• 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).
Gioca Pocket AutoML: No-Code On-Device Deep Learning su PC. È facile iniziare.
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Scarica e installa BlueStacks sul tuo PC
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Completa l'accesso a Google per accedere al Play Store o eseguilo in un secondo momento
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Cerca Pocket AutoML: No-Code On-Device Deep Learning nella barra di ricerca nell'angolo in alto a destra
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Fai clic per installare Pocket AutoML: No-Code On-Device Deep Learning dai risultati della ricerca
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Completa l'accesso a Google (se hai saltato il passaggio 2) per installare Pocket AutoML: No-Code On-Device Deep Learning
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Fai clic sull'icona Pocket AutoML: No-Code On-Device Deep Learning nella schermata principale per iniziare a giocare