Reduce the model complexity by 612 times, and memory footprint by 19.5 times compared to base model, while achieving worst case accuracy threshold.
lightweight deep-learning tensorflow keras cnn mnist inception ensemble-model model-complexity model-compression memory-footprint mobile-platform model-acceleration 1x1 conv1x1
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Updated
Jan 26, 2018 - Jupyter Notebook