TensorFlow Lite inference
Read moreWhat is the best use of TensorFlow?
TensorFlow is used to create large-scale neural networks with many layers. TensorFlow is mainly used for deep learning or machine learning problems such as Classification, Perception, Understanding, Discovering, Prediction and Creation.
Read moreWhat can TensorFlow be used for?
TensorFlow provides a collection of workflows to develop and train models using Python or JavaScript, and to easily deploy in the cloud, on-prem, in the browser, or on-device no matter what language you use. The tf. data API enables you to build complex input pipelines from simple, reusable pieces.
Read moreHow do I load a Tflite file in python?
Run an inference using tflite_runtime
Read moreHow do you convert to Tflite model?
Convert a TensorFlow 1. x model using tf.
Read moreHow do you know if a model is Tflite?
You may use TensorFlow Lite Python interpreter to test your tflite model. It allows you to feed input data in python shell and read the output directly like you are just using a normal tensorflow model.
Read moreHow do you convert Pb model to Tflite?
Conversion to TFLITE:
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