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Backlog (To Do)

gnawice edited this page Jul 8, 2018 · 6 revisions
  • center loss (prototype)
  • separate activation from layer
  • speedups with dropout or drop connect (skip some convolutions)
  • documentation / doxy
  • function to lock/remove/mod/clean layer
  • move logging code into network class
  • drop connect
  • batch norm
  • reproduce resnet results
  • activation layers - don't seem to need right now. Can use resize layer.
  • finish fractional max pool (the correct way)
  • finish support for non-square elements (off the table. Do want to handle 1D convolutions though)
  • conv stride > 1 - in but broke fix it
  • sliding window code with full image network processing
  • lecun-like multi-dimensional embedding
  • C wrapper with python example
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