Reflect changes

Author: stefanradev93

CHANGELOG.rst

@@ -80,4 +80,5 @@ General Improvements:
 ----------
 
 1. Add ``bidirectional`` flag to ``SequentialNetwork`` and ``TimeSeriesTransformer`` for potential to improve
-performance
+performance.
+2. Deprecate name ``SequentialNetwork`` and use ``SequenceNetwork`` instead to avoid confusion with ``tf.keras.Sequential``.

bayesflow/default_settings.py

@@ -98,7 +98,7 @@ def __init__(self, meta_dict: dict, mandatory_fields: list = []):
 
 DEFAULT_SETTING_AFFINE_COUPLING = MetaDictSetting(
     meta_dict={
-        "dense_args": dict(units=128, activation="relu", kernel_regularizer=tf.keras.regularizers.l2(5e-4)),
+        "dense_args": dict(units=128, activation="relu", kernel_regularizer=tf.keras.regularizers.l2(1e-4)),
         "num_dense": 2,
         "spec_norm": False,
         "mc_dropout": False,
@@ -113,7 +113,7 @@ def __init__(self, meta_dict: dict, mandatory_fields: list = []):
 
 DEFAULT_SETTING_SPLINE_COUPLING = MetaDictSetting(
     meta_dict={
-        "dense_args": dict(units=128, activation="relu", kernel_regularizer=tf.keras.regularizers.l2(1e-3)),
+        "dense_args": dict(units=128, activation="relu", kernel_regularizer=tf.keras.regularizers.l2(1e-4)),
         "num_dense": 2,
         "spec_norm": False,
         "mc_dropout": False,