Sparse penalty fixed for Sigmoids

MelJan · Feb 12, 2018 · b4dd6e8 · b4dd6e8
1 parent 5e2e0f6
commit b4dd6e8
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/pydeep/ae/model.py b/pydeep/ae/model.py
@@ -491,7 +491,7 @@ def __get_sparse_penalty_gradient_part(self, h, desired_sparseness):
            -type: numpy array [1, hidden dim]
         '''
         mean_h = numx.atleast_2d(numx.mean(h, axis=0))
-        if self.hidden_activation_function == Sigmoid or isinstance(self.hidden_activation_function, list):
+        if self.hidden_activation_function == Sigmoid or isinstance(self.hidden_activation_function, Sigmoid):
             min_value = 1e-10
             max_value = 1.0 - min_value
             mean_h = numx.clip(mean_h, min_value, max_value)