Meeting minutes for weekly phd meeting 13 Dec 2016:
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I showed Tom the curves of inference speed versus image input size.
Ideas for the future:
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CNN architecture:
1) Scaling (s)
2) Residual blocks of convolutions
3) Upsample (1/s)
4) Loss layer with two parts: dice coefficient, inverse of the scaling factor.
Compression:
sensitivity based iterative pruning of the residual convolutions.
Weekly meeting 13 Dec 2016