TensorFlow-Examples | TensorFlow Tutorial and Examples for Beginners ( support TF | Machine Learning library
kandi X-RAY | TensorFlow-Examples Summary
kandi X-RAY | TensorFlow-Examples Summary
This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation, for both TF v1 & v2. It is suitable for beginners who want to find clear and concise examples about TensorFlow. Besides the traditional 'raw' TensorFlow implementations, you can also find the latest TensorFlow API practices (such as layers, estimator, dataset, ...).
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QUESTION
In my Notebook's first cell, I wrote :
...ANSWER
Answered 2020-Aug-25 at 22:13From here:
QUESTION
https://www.tensorflow.org/lite/tutorials/model_maker_image_classification
I am running through the tensorflow lite example and get an import error when trying to import image classifier.
...ANSWER
Answered 2020-Jul-03 at 14:02Try to clone the repo, and then use this path:
QUESTION
I am trying TF-lite converter with TF1.12. And found that the accuracy of TF-lite is not correct after quantization. Take MNIST for example, if convert to f32 with the following command, it still can tell the correct when run convolution_test_lite.py with conv_net_f32.tflite.
...ANSWER
Answered 2020-May-27 at 12:52I believe there are multiple issues buried in this. Let me address these one by one.
1. The input values should be quantized.Your test code (convolution_test_lite.py
) is not quantizing the input values correctly.
In case of QUANTIZED_UINT8
quantization:
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