TensorFlow Lite is a toolkit for Android and iOS that provides Machine Learning capabilities on-device.
I downloaded a retrained_graph.pb and retrained_labels.txt file of a model I trained in Azure cognitive service. …
tensorflow tensorflow-liteI have a model saved after training as pb file, I want to use tensorflow mobile and it's important to …
python tensorflow tensorflow-liteI have generated a .tflite model based on a trained model, I would like to test that the tfilte model …
python tensorflow tensorflow-liteI have converted the .pb file to tflite file using the bazel. Now I want to load this tflite model …
python tensorflow tensorflow-liteI wanted to use my keras trained model in android studio. I got this code on internet to convert my …
python tensorflow keras tensorflow-liteI'm developing a Tensorflow embedded application using TF lite on the Raspberry Pi 3b, running Raspbian Stretch. I've converted the …
python tensorflow raspberry-pi3 pytorch tensorflow-liteBackground information: I have written a TensorFlow model very similar to the premade iris classification model provided by TensorFlow. The …
python tensorflow machine-learning pycharm tensorflow-liteI am trying to get a TensorFlow Lite example to run on a machine with an ARM Cortex-A72 processor. Unfortunately, …
c++ tensorflow tensorflow-lite inferenceI get the pre-trained .pb file of MobileNet and find it's not quantized while the fully quantized model should be …
tensorflow tensorflow-liteI had converted my model to tensorflow-lite but when compiling I get the following error: Here is my code: interpreter = …
python tensorflow tensorflow-lite