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Showing posts with the label Tensorflow Lite

I Use Tfliteconvert Post_training_quantize=true But My Model Is Still Too Big For Being Hosted In Firebase Ml Kit's Custom Servers

I have written a TensorFlow / Keras Super-Resolution GAN. I've converted the resulting trained … Read more I Use Tfliteconvert Post_training_quantize=true But My Model Is Still Too Big For Being Hosted In Firebase Ml Kit's Custom Servers

How To Convert Just A H5 File To A Tflite File?

I'm trying to run license plate detection on Android. So first of all I find this tutorial: htt… Read more How To Convert Just A H5 File To A Tflite File?

Coral Edge Tpu Compiler Cannot Convert Tflite Model: Model Not Quantized

I am trying to deploy a simple test application with TensorFlow lite. I want to use the Coral Edge … Read more Coral Edge Tpu Compiler Cannot Convert Tflite Model: Model Not Quantized

How Can I Test A .tflite Model To Prove That It Behaves As The Original Model Using The Same Test Data?

I have generated a .tflite model based on a trained model, I would like to test that the tfilte mod… Read more How Can I Test A .tflite Model To Prove That It Behaves As The Original Model Using The Same Test Data?

Obtain Input_array And Output_array Items To Convert Model To Tflite Format

PS. Please dont point me to converting Keras model directly to tflite as my .h5 file would fail to … Read more Obtain Input_array And Output_array Items To Convert Model To Tflite Format

Tensorflow Lite Model Gives Very Different Accuracy Value Compared To Python Model

I am using tensorflow 1.10 Python 3.6 My code is based in the premade iris classification model pro… Read more Tensorflow Lite Model Gives Very Different Accuracy Value Compared To Python Model