Model optimization aims to create smaller models that are generally faster and more energy efficient , so that they can be deployed on mobile devices. TensorFlow Lite supports multiple optimization techniques, such as quantization. Check out our model optimization docs for details.28 Oca 2021
Read moreShould I use TensorFlow or TensorFlow Lite?
The differences between TensorFlow Lite and TensorFlow Mobile are as follows: It is the next version of TensorFlow mobile. Generally, applications developed on TensorFlow Lite will have better performance and less binary file size than TensorFlow mobile .30 Nis 2019
Read moreShould I use TensorFlow or TensorFlow Lite?
The differences between TensorFlow Lite and TensorFlow Mobile are as follows: It is the next version of TensorFlow mobile. Generally, applications developed on TensorFlow Lite will have better performance and less binary file size than TensorFlow mobile .30 Nis 2019
Read moreWhat is TensorFlow Lite used for?
TensorFlow Lite is a set of tools that enables on-device machine learning by helping developers run their models on mobile, embedded, and IoT devices .24 Nis 2021
Read moreWhat is TensorFlow Lite used for?
TensorFlow Lite is a set of tools that enables on-device machine learning by helping developers run their models on mobile, embedded, and IoT devices .24 Nis 2021
Read moreWhat is TensorFlow Lite model?
TensorFlow Lite is an open-source, product ready, cross-platform deep learning framework that converts a pre-trained model in TensorFlow to a special format that can be optimized for speed or storage .
Read moreWhat is TensorFlow Lite model?
TensorFlow Lite is an open-source, product ready, cross-platform deep learning framework that converts a pre-trained model in TensorFlow to a special format that can be optimized for speed or storage .
Read more