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This Repository is mainly for deep learning modules based on theano

  • Layer implemented
    1. FC
    2. conv
    3. pool
    4. dropout
    5. elementwiseMul/Sum
    6. BatchNorm
    7. DotProd
    8. Concatenate
    9. Stack (increase the number of sample but keep feature dimension fixed)
    10. ElementwiseScale
    11. SquareDiffCost
    12. MaxMarginCost
    13. BinaryCrossEntropyCost
  • Solver implemented
    1. SGD
    2. SGD with linesearch
  • Activation list
    1. Relu
    2. Sigmoid
    3. BinaryCrossEntropy
    4. Tanh
    5. Softmax
    6. Linear

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  • Python 100.0%