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  • The Evolution Chamber will be a module that allows for evolving neural networks through genetic algorithms

    No due date
    7/12 issues closed
  • It is difficult to figure out why a neural network isn't working. Printing neural network data will allow human and machine parsing for visualization of neural network activity. The end goal is to have the following activity data available - Synapse Received - Synapse Sent - Sensor Synchronized - Neuron Activated - Actuator Output Hook The activity data will include information about - Nodes Involved - Neuron Connection Info - Activation Function Identifier - Sync Function Identifier - Output Hook Identifier This data should be enough to construct a visualization of the neural network activity. It would be really cool to see an animation of data as it's received.

    No due date
    2/7 issues closed
  • Able to evolve a neural network from training data

    No due date
    12/15 issues closed