Mist gradient check (#57)

Signed-off-by: AlexDBlack <blacka101@gmail.com>
master
Alex Black 2019-11-19 00:12:59 +11:00 committed by GitHub
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@ -142,7 +142,7 @@ public class GradientCheckTests extends BaseDL4JTest {
// (a) activation function
// (b) Whether to test at random initialization, or after some learning (i.e., 'characteristic mode of operation')
// (c) Loss function (with specified output activations)
Activation[] activFns = {Activation.SIGMOID, Activation.TANH};
Activation[] activFns = {Activation.SIGMOID, Activation.TANH, Activation.MISH};
boolean[] characteristic = {false, true}; //If true: run some backprop steps first
LossFunction[] lossFunctions = {LossFunction.MCXENT, LossFunction.MSE};