Details

    • Type: New Feature New Feature
    • Status: Closed
    • Priority: Minor Minor
    • Resolution: Fixed
    • Affects Version/s: 0.6
    • Fix Version/s: 0.6
    • Component/s: Classification
    • Labels:

      Description

      Implement a gradient machine (aka 'neural network) that can be used for classification or auto-encoding.
      It will just have an input layer, identity, sigmoid or tanh hidden layer and an output layer.
      Training done by stochastic gradient descent (possibly mini-batch later).
      Sparsity will be optionally enforced by tweaking the bias in the hidden unit.
      For now it will go in classifier/sgd and the auto-encoder will wrap it in the filter unit later on.

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          • Assignee:
            Ted Dunning
            Reporter:
            Hector Yee
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              Updated:
              Resolved:

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