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

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