add tsne (does not work with big data)

fix model loading with custom selu function

models/__init__.py

@@ -1,5 +1,6 @@
 import keras.backend as K
 
+from models.renes_networks import selu
 from . import flat_2, pauls_networks, renes_networks
 
 
@@ -24,11 +25,11 @@ def get_models_by_params(params: dict):
     dense_dim = params.get("dense_main")
     model_output = params.get("model_output", "both")
     # create models
-    if network_depth == "small":
+    if network_depth == "flat1":
         networks = pauls_networks
-    elif network_depth == "flat":
+    elif network_depth == "flat2":
         networks = flat_2
-    elif network_depth == "medium":
+    elif network_depth == "deep1":
         networks = renes_networks
     else:
         raise Exception("network not found")
@@ -49,6 +50,7 @@ def get_metrics():
         ("precision", precision),
         ("recall", recall),
         ("f1_score", f1_score),
+        ("selu", selu)
     ])