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Grounding Transfer

My Work


Version 1.

  • Experiment consist of 4 net Label1Net, Label2net, Label3Net and Instance Net.
  • Label1Net is fully connected with Label2Net which is fully conected with Label2Net and InstanceNet.
  • Connections between Label1net and Label2net and between InstanceNet and Label2net are plastic and are learned.
  • Label1Net has 8 CAs (pyramid+vertical, vertical, horizontal, red, green, moveleftleg, move rightleg and moveleftleg + moverightleg).
  • These CAs get committed to corresponding CAs of Label2Net through compensatory learning.
  • Learning rate is low (0.0001) for Label2Net and for (0.0001) for Label2Net.
  • Learning run for 15 epochs where each epoch consists of 2000 CantStep. Where each CA gets 250 cycles.
  • System is tested for further 5 epochs.
  • And than Lables are learned by compensatory learning from Instancenet (learning rate of 0.2) to Label2net for 3 epochs and than tested for 2 epochs.
  • If in Label2Net more than 1 CA is firing at the same time they get committed to Label3Net to form super Label CA.

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