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docs(compression): add MNIST compression tutorial

Add a comprehensive Jupyter notebook tutorial demonstrating TFLM's
compression pipeline using the MNIST dataset. The tutorial covers weight
clustering with TensorFlow Model Optimization toolkit, post-training
quantization, and TFLM's LUT-based compression.

Update documentation to reference the new tutorial from the main README,
Python interpreter guide, and compression documentation.

BUG=#2636

Add a comprehensive Jupyter notebook tutorial demonstrating TFLM's
compression pipeline using the MNIST dataset. The tutorial covers weight
clustering with TensorFlow Model Optimization toolkit, post-training
quantization, and TFLM's LUT-based compression.

Update documentation to reference the new tutorial from the main README,
Python interpreter guide, and compression documentation.

BUG=tensorflow#2636
@rkuester rkuester requested a review from a team as a code owner October 12, 2025 20:22
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@rkuester
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This is the same tutorial we reviewed a while back. This PR moves it to the main branch, now that we have a Python package that runs easily in Colab.

@rkuester rkuester requested a review from veblush October 12, 2025 20:25
@TFLM-bot TFLM-bot removed the ci:run label Oct 12, 2025
@veblush veblush merged commit c3c78cb into tensorflow:main Oct 17, 2025
2 of 3 checks passed
@rkuester rkuester deleted the tutorial branch November 25, 2025 04:13
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3 participants