GitHub PushEvent at 2014-01-16 01:26:48
Repository: neuralnet
Actor: acumartini
Payload: {"shas":[["844c0b33109b75bb1f8405b330d1102bcf6dc9b2","9c9b7386853208ba2ad09de98797d48187998c44@cs.uoregon.edu","Added randomization parameter init_epsilon for theta initialization close to 0","Adam Martini",true],["10e99b98aff525c6f85417d599e4b32a2f027b1e","9c9b7386853208ba2ad09de98797d48187998c44@cs.uoregon.edu","Refined backprop algorithm with an in depth analysis of each calculation.  Double and triple checked vector maths.","Adam Martini",true],["05eb031b185119c898c6532cf7831118f1461dc1","9c9b7386853208ba2ad09de98797d48187998c44@cs.uoregon.edu","Fixed major bug in parameter unpacking.  Gradient estimation working now.  Estimations comfirm accurate backpropagation for networks with one layer up to any number of iterations and with any level of regularization.  Larger networks quickly deviate from the estimation calcs.","Adam Martini",true]],"size":3,"ref":"refs/heads/master","head":"05eb031b185119c898c6532cf7831118f1461dc1"}