If you want the code to run natively, ... There are plenty of ways you can get hold of pre-trained TensorFlow Lite Model Files for your app. I recommend starting with the official TensorFlow site.

Google has released the developer preview of TensorFlow Lite. The search giant designed TensorFlow Lite as a lightweight machine learning solution for ...

Google today announced TensorFlow Lite Model Maker, a tool that adapts state-of-the-art machine learning models to custom data sets using a technique known as transfer learning.It wraps machine ...

The basic idea of TensorFlow Lite is that you train a full-blown TensorFlow model and convert it to the TensorFlow Lite model format. Then you can use the converted file in your mobile application ...

The Model Maker supports models available on the TensorFlow hub such as the EfficientNet-Lite models. In addition, it supports image classification and text classification.

Google has announced TensorFlow Lite Model Maker, a tool for converting an existing TensorFlow model to the TensorFlow Lite format used to serve predictions on lightweight hardware such as mobile ...

Google LLC today announced a new tool called TensorFlow Lite Model Maker, which uses a technique known as transfer learning to adapt machine learning models to custom data sets. TensorFlow Lite is ...

For them there’s TensorFlow Lite, in which a model is created on a larger machine and exported to a microcontroller or ... (Basic 2). Without in-line assembly code! Plain C64 Basic alone ...

TensorFlow Lite (TFLite) was announced in 2017 and Google is now calling it “LiteRT” to reflect how it supports third-party models. TensorFlow Lite for mobile on-device AI has “grown beyond ...