Multi instance #1
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Using a TimeDistributed layer Right now augmentations are disabled
Should reduce IO bottleneck by a factor of n_windows (typ 6x) Also got rid of warnings for 0 length windows, by taking into account that augmentation may change length
jonnor
commented
Nov 4, 2019
| @@ -18,7 +18,6 @@ https://community.st.com/s/topic/0TO0X0000003iUqWAI/stm32-machine-learning-ai | |||
| Experiment | |||
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| - Test 16kHz with 30 mels | |||
| - Use multi-instance learning. Get bigger batches and improve GPU utilization | |||
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Currently this does not perform better than independent instances. It may be that using mean as the pooling operator is not ideal, especially for classes which take a short time (gunshot, bark), or are mostly occluded (children playing in background). |
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