diff --git a/mlpp_lib/models.py b/mlpp_lib/models.py
index 5dd09e9..e756b8b 100644
--- a/mlpp_lib/models.py
+++ b/mlpp_lib/models.py
@@ -1,6 +1,8 @@
-import tensorflow as tf
+import logging
 from typing import Optional, Union, Any
 
+import numpy as np
+import tensorflow as tf
 from tensorflow.keras.layers import (
     Add,
     Dense,
@@ -8,14 +10,11 @@
     BatchNormalization,
     Activation,
 )
-
 from tensorflow.keras import Model, initializers
 
 from mlpp_lib.physical_layers import *
 from mlpp_lib.probabilistic_layers import *
 
-import numpy as np
-
 try:
     import tcn  # type: ignore
 except ImportError:
@@ -24,6 +23,10 @@
     TCN_IMPORTED = True
 
 
+_LOGGER = logging.getLogger(__name__)
+
+
+@tf.keras.utils.register_keras_serializable()
 class MonteCarloDropout(Dropout):
     def call(self, inputs):
         return super().call(inputs, training=True)
@@ -32,15 +35,22 @@ def call(self, inputs):
 def _build_fcn_block(
     inputs,
     hidden_layers,
+    batchnorm,
     activations,
     dropout,
     mc_dropout,
     skip_connection,
     idx=0,
 ):
+    if mc_dropout and dropout is None:
+        _LOGGER.warning("dropout=None, hence I will ignore mc_dropout=True")
+
     x = inputs
     for i, units in enumerate(hidden_layers):
-        x = Dense(units, activation=activations[i], name=f"dense_{idx}_{i}")(x)
+        x = Dense(units, name=f"dense_{idx}_{i}")(x)
+        if batchnorm:
+            x = BatchNormalization()(x)
+        x = Activation(activations[i])(x)
         if i < len(dropout) and 0.0 < dropout[i] < 1.0:
             if mc_dropout:
                 x = MonteCarloDropout(dropout[i], name=f"mc_dropout_{idx}_{i}")(x)
@@ -82,6 +92,7 @@ def fully_connected_network(
     input_shape: tuple[int],
     output_size: int,
     hidden_layers: list,
+    batchnorm: bool = False,
     activations: Optional[Union[str, list[str]]] = "relu",
     dropout: Optional[Union[float, list[float]]] = None,
     mc_dropout: bool = False,
@@ -101,6 +112,8 @@ def fully_connected_network(
     hidden_layers: list[int]
         List that is used to define the fully connected block. Each element creates
         a Dense layer with the corresponding units.
+    batchnorm: bool
+        Use batch normalization. Default is False.
     activations: str or list[str]
         (Optional) Activation function(s) for the Dense layer(s). See https://keras.io/api/layers/activations/#relu-function.
         If a string is passed, the same activation is used for all layers. Default is `relu`.
@@ -150,6 +163,7 @@ def fully_connected_network(
     x = _build_fcn_block(
         inputs,
         hidden_layers,
+        batchnorm,
         activations,
         dropout,
         mc_dropout,
@@ -165,6 +179,7 @@ def fully_connected_multibranch_network(
     input_shape: tuple[int],
     output_size: int,
     hidden_layers: list,
+    batchnorm: bool = False,
     activations: Optional[Union[str, list[str]]] = "relu",
     dropout: Optional[Union[float, list[float]]] = None,
     mc_dropout: bool = False,
@@ -184,6 +199,8 @@ def fully_connected_multibranch_network(
     hidden_layers: list[int]
         List that is used to define the fully connected block. Each element creates
         a Dense layer with the corresponding units.
+    batchnorm: bool
+        Use batch normalization. Default is False.
     activations: str or list[str]
         (Optional) Activation function(s) for the Dense layer(s). See https://keras.io/api/layers/activations/#relu-function.
         If a string is passed, the same activation is used for all layers. Default is `relu`.
@@ -242,6 +259,7 @@ def fully_connected_multibranch_network(
         x = _build_fcn_block(
             inputs,
             hidden_layers,
+            batchnorm,
             activations,
             dropout,
             mc_dropout,
@@ -263,6 +281,7 @@ def deep_cross_network(
     input_shape: tuple[int],
     output_size: int,
     hidden_layers: list,
+    batchnorm: bool = True,
     activations: Optional[Union[str, list[str]]] = "relu",
     dropout: Optional[Union[float, list[float]]] = None,
     mc_dropout: bool = False,
@@ -282,6 +301,8 @@ def deep_cross_network(
     hidden_layers: list[int]
         List that is used to define the fully connected block. Each element creates
         a Dense layer with the corresponding units.
+    batchnorm: bool
+        Use batch normalization. Default is True.
     activations: str or list[str]
         (Optional) Activation function(s) for the Dense layer(s). See https://keras.io/api/layers/activations/#relu-function.
         If a string is passed, the same activation is used for all layers. Default is `relu`.
@@ -338,16 +359,15 @@ def deep_cross_network(
 
     # deep part
     deep = inputs
-    for i, u in enumerate(hidden_layers):
-        deep = Dense(u)(deep)
-        deep = BatchNormalization()(deep)
-        deep = Activation(activations[i])(deep)
-        if i < len(dropout) and 0.0 < dropout[i] < 1.0:
-            if mc_dropout:
-                deep = MonteCarloDropout(dropout[i])(deep)
-            else:
-                deep = Dropout(dropout[i])(deep)
-    # deep = tf.keras.Model(inputs=inputs, outputs=deep, name="deepblock")
+    deep = _build_fcn_block(
+        deep,
+        hidden_layers,
+        batchnorm,
+        activations,
+        dropout,
+        mc_dropout,
+        skip_connection=False,
+    )
 
     # merge
     merge = tf.keras.layers.Concatenate()([cross, deep])
diff --git a/poetry.lock b/poetry.lock
index 8b6664e..493574f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,16 +2,36 @@
 
 [[package]]
 name = "absl-py"
-version = "1.4.0"
+version = "2.0.0"
 description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
-    {file = "absl-py-1.4.0.tar.gz", hash = "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d"},
-    {file = "absl_py-1.4.0-py3-none-any.whl", hash = "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47"},
+    {file = "absl-py-2.0.0.tar.gz", hash = "sha256:d9690211c5fcfefcdd1a45470ac2b5c5acd45241c3af71eed96bc5441746c0d5"},
+    {file = "absl_py-2.0.0-py3-none-any.whl", hash = "sha256:9a28abb62774ae4e8edbe2dd4c49ffcd45a6a848952a5eccc6a49f3f0fc1e2f3"},
 ]
 
+[[package]]
+name = "alembic"
+version = "1.12.1"
+description = "A database migration tool for SQLAlchemy."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "alembic-1.12.1-py3-none-any.whl", hash = "sha256:47d52e3dfb03666ed945becb723d6482e52190917fdb47071440cfdba05d92cb"},
+    {file = "alembic-1.12.1.tar.gz", hash = "sha256:bca5877e9678b454706347bc10b97cb7d67f300320fa5c3a94423e8266e2823f"},
+]
+
+[package.dependencies]
+Mako = "*"
+SQLAlchemy = ">=1.3.0"
+typing-extensions = ">=4"
+
+[package.extras]
+tz = ["python-dateutil"]
+
 [[package]]
 name = "asciitree"
 version = "0.3.3"
@@ -75,113 +95,140 @@ d = ["aiohttp (>=3.7.4)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
+[[package]]
+name = "blinker"
+version = "1.7.0"
+description = "Fast, simple object-to-object and broadcast signaling"
+category = "dev"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "blinker-1.7.0-py3-none-any.whl", hash = "sha256:c3f865d4d54db7abc53758a01601cf343fe55b84c1de4e3fa910e420b438d5b9"},
+    {file = "blinker-1.7.0.tar.gz", hash = "sha256:e6820ff6fa4e4d1d8e2747c2283749c3f547e4fee112b98555cdcdae32996182"},
+]
+
 [[package]]
 name = "cachetools"
-version = "5.3.1"
+version = "5.3.2"
 description = "Extensible memoizing collections and decorators"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "cachetools-5.3.1-py3-none-any.whl", hash = "sha256:95ef631eeaea14ba2e36f06437f36463aac3a096799e876ee55e5cdccb102590"},
-    {file = "cachetools-5.3.1.tar.gz", hash = "sha256:dce83f2d9b4e1f732a8cd44af8e8fab2dbe46201467fc98b3ef8f269092bf62b"},
+    {file = "cachetools-5.3.2-py3-none-any.whl", hash = "sha256:861f35a13a451f94e301ce2bec7cac63e881232ccce7ed67fab9b5df4d3beaa1"},
+    {file = "cachetools-5.3.2.tar.gz", hash = "sha256:086ee420196f7b2ab9ca2db2520aca326318b68fe5ba8bc4d49cca91add450f2"},
 ]
 
 [[package]]
 name = "certifi"
-version = "2023.7.22"
+version = "2023.11.17"
 description = "Python package for providing Mozilla's CA Bundle."
 category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
-    {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
+    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
+    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
 ]
 
 [[package]]
 name = "charset-normalizer"
-version = "3.2.0"
+version = "3.3.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 category = "main"
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 [[package]]
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+]
+
+[package.dependencies]
+numpy = ">=1.20,<2.0"
+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.6.1)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
+
+[[package]]
+name = "cycler"
+version = "0.12.1"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
+]
+
+[package.extras]
+docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
+tests = ["pytest", "pytest-cov", "pytest-xdist"]
+
 [[package]]
 name = "dask"
 version = "2022.12.1"
@@ -252,6 +379,27 @@ diagnostics = ["bokeh (>=2.4.2,<3)", "jinja2"]
 distributed = ["distributed (==2022.12.1)"]
 test = ["pandas[test]", "pre-commit", "pytest", "pytest-rerunfailures", "pytest-xdist"]
 
+[[package]]
+name = "databricks-cli"
+version = "0.18.0"
+description = "A command line interface for Databricks"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "databricks_cli-0.18.0-py2.py3-none-any.whl", hash = "sha256:1176a5f42d3e8af4abfc915446fb23abc44513e325c436725f5898cbb9e3384b"},
+]
+
+[package.dependencies]
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+oauthlib = ">=3.1.0"
+pyjwt = ">=1.7.0"
+requests = ">=2.17.3"
+six = ">=1.10.0"
+tabulate = ">=0.7.7"
+urllib3 = ">=1.26.7,<3"
+
 [[package]]
 name = "decorator"
 version = "5.1.1"
@@ -313,12 +461,34 @@ files = [
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 ]
 
+[[package]]
+name = "docker"
+version = "6.1.3"
+description = "A Python library for the Docker Engine API."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "docker-6.1.3.tar.gz", hash = "sha256:aa6d17830045ba5ef0168d5eaa34d37beeb113948c413affe1d5991fc11f9a20"},
+]
+
+[package.dependencies]
+packaging = ">=14.0"
+pywin32 = {version = ">=304", markers = "sys_platform == \"win32\""}
+requests = ">=2.26.0"
+urllib3 = ">=1.26.0"
+websocket-client = ">=0.32.0"
+
+[package.extras]
+ssh = ["paramiko (>=2.4.3)"]
+
 [[package]]
 name = "entrypoints"
 version = "0.4"
 description = "Discover and load entry points from installed packages."
-category = "main"
-optional = true
+category = "dev"
+optional = false
 python-versions = ">=3.6"
 files = [
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@@ -327,14 +497,14 @@ files = [
 
 [[package]]
 name = "exceptiongroup"
-version = "1.1.3"
+version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
 ]
 
 [package.extras]
@@ -342,16 +512,40 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fasteners"
-version = "0.18"
+version = "0.19"
 description = "A python package that provides useful locks"
 category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
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+    {file = "fasteners-0.19.tar.gz", hash = "sha256:b4f37c3ac52d8a445af3a66bce57b33b5e90b97c696b7b984f530cf8f0ded09c"},
 ]
 
+[[package]]
+name = "flask"
+version = "3.0.0"
+description = "A simple framework for building complex web applications."
+category = "dev"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.dependencies]
+blinker = ">=1.6.2"
+click = ">=8.1.3"
+importlib-metadata = {version = ">=3.6.0", markers = "python_version < \"3.10\""}
+itsdangerous = ">=2.1.2"
+Jinja2 = ">=3.1.2"
+Werkzeug = ">=3.0.0"
+
+[package.extras]
+async = ["asgiref (>=3.2)"]
+dotenv = ["python-dotenv"]
+
 [[package]]
 name = "flatbuffers"
 version = "23.5.26"
@@ -364,16 +558,82 @@ files = [
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 ]
 
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+version = "4.45.1"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.8"
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+    {file = "fonttools-4.45.1.tar.gz", hash = "sha256:6e441286d55fe7ec7c4fb36812bf914924813776ff514b744b510680fc2733f2"},
+]
+
+[package.extras]
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+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["munkres", "scipy"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=15.1.0)"]
+woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
+
 [[package]]
 name = "fsspec"
-version = "2023.9.0"
+version = "2023.10.0"
 description = "File-system specification"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fsspec-2023.9.0-py3-none-any.whl", hash = "sha256:d55b9ab2a4c1f2b759888ae9f93e40c2aa72c0808132e87e282b549f9e6c4254"},
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 ]
 
 [package.extras]
@@ -412,24 +672,55 @@ files = [
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 ]
 
+[[package]]
+name = "gitdb"
+version = "4.0.11"
+description = "Git Object Database"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
+]
+
+[package.dependencies]
+smmap = ">=3.0.1,<6"
+
+[[package]]
+name = "gitpython"
+version = "3.1.40"
+description = "GitPython is a Python library used to interact with Git repositories"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "GitPython-3.1.40.tar.gz", hash = "sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4"},
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+
+[package.dependencies]
+gitdb = ">=4.0.1,<5"
+
+[package.extras]
+test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
+
 [[package]]
 name = "google-auth"
-version = "2.22.0"
+version = "2.23.4"
 description = "Google Authentication Library"
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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 [package.dependencies]
 cachetools = ">=2.0.0,<6.0"
 pyasn1-modules = ">=0.2.1"
 rsa = ">=3.1.4,<5"
-six = ">=1.9.0"
-urllib3 = "<2.0"
 
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
@@ -473,93 +764,198 @@ files = [
 [package.dependencies]
 six = "*"
 
+[[package]]
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+version = "3.0.1"
+description = "Lightweight in-process concurrent programming"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -567,14 +963,14 @@ numpy = ">=1.17.3"
 
 [[package]]
 name = "idna"
-version = "3.4"
+version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
 category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
-    {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
-    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
+    {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
+    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
 ]
 
 [[package]]
@@ -597,6 +993,25 @@ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker
 perf = ["ipython"]
 testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
 
+[[package]]
+name = "importlib-resources"
+version = "6.1.1"
+description = "Read resources from Python packages"
+category = "dev"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "importlib_resources-6.1.1-py3-none-any.whl", hash = "sha256:e8bf90d8213b486f428c9c39714b920041cb02c184686a3dee24905aaa8105d6"},
+    {file = "importlib_resources-6.1.1.tar.gz", hash = "sha256:3893a00122eafde6894c59914446a512f728a0c1a45f9bb9b63721b6bacf0b4a"},
+]
+
+[package.dependencies]
+zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff", "zipp (>=3.17)"]
+
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
@@ -609,36 +1024,79 @@ files = [
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
+[[package]]
+name = "itsdangerous"
+version = "2.1.2"
+description = "Safely pass data to untrusted environments and back."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "itsdangerous-2.1.2.tar.gz", hash = "sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a"},
+]
+
 [[package]]
 name = "jax"
-version = "0.4.14"
+version = "0.4.20"
 description = "Differentiate, compile, and transform Numpy code."
 category = "main"
 optional = false
 python-versions = ">=3.9"
 files = [
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+    {file = "jax-0.4.20.tar.gz", hash = "sha256:ea96a763a8b1a9374639d1159ab4de163461d01cd022f67c34c09581b71ed2ac"},
 ]
 
 [package.dependencies]
-importlib_metadata = {version = ">=4.6", markers = "python_version < \"3.10\""}
-ml_dtypes = ">=0.2.0"
+importlib-metadata = {version = ">=4.6", markers = "python_version < \"3.10\""}
+ml-dtypes = ">=0.2.0"
 numpy = ">=1.22"
-opt_einsum = "*"
-scipy = ">=1.7"
+opt-einsum = "*"
+scipy = ">=1.9"
 
 [package.extras]
 australis = ["protobuf (>=3.13,<4)"]
-ci = ["jaxlib (==0.4.13)"]
-cpu = ["jaxlib (==0.4.14)"]
-cuda = ["jaxlib (==0.4.14+cuda11.cudnn86)"]
-cuda11-cudnn86 = ["jaxlib (==0.4.14+cuda11.cudnn86)"]
-cuda11-local = ["jaxlib (==0.4.14+cuda11.cudnn86)"]
-cuda11-pip = ["jaxlib (==0.4.14+cuda11.cudnn86)", "nvidia-cublas-cu11 (>=11.11)", "nvidia-cuda-cupti-cu11 (>=11.8)", "nvidia-cuda-nvcc-cu11 (>=11.8)", "nvidia-cuda-runtime-cu11 (>=11.8)", "nvidia-cudnn-cu11 (>=8.8)", "nvidia-cufft-cu11 (>=10.9)", "nvidia-cusolver-cu11 (>=11.4)", "nvidia-cusparse-cu11 (>=11.7)"]
-cuda12-local = ["jaxlib (==0.4.14+cuda12.cudnn89)"]
-cuda12-pip = ["jaxlib (==0.4.14+cuda12.cudnn89)", "nvidia-cublas-cu12", "nvidia-cuda-cupti-cu12", "nvidia-cuda-nvcc-cu12", "nvidia-cuda-runtime-cu12", "nvidia-cudnn-cu12 (>=8.9)", "nvidia-cufft-cu12", "nvidia-cusolver-cu12", "nvidia-cusparse-cu12"]
-minimum-jaxlib = ["jaxlib (==0.4.11)"]
-tpu = ["jaxlib (==0.4.14)", "libtpu-nightly (==0.1.dev20230727)"]
+ci = ["jaxlib (==0.4.19)"]
+cpu = ["jaxlib (==0.4.20)"]
+cuda = ["jaxlib (==0.4.20+cuda11.cudnn86)"]
+cuda11-cudnn86 = ["jaxlib (==0.4.20+cuda11.cudnn86)"]
+cuda11-local = ["jaxlib (==0.4.20+cuda11.cudnn86)"]
+cuda11-pip = ["jaxlib (==0.4.20+cuda11.cudnn86)", "nvidia-cublas-cu11 (>=11.11)", "nvidia-cuda-cupti-cu11 (>=11.8)", "nvidia-cuda-nvcc-cu11 (>=11.8)", "nvidia-cuda-runtime-cu11 (>=11.8)", "nvidia-cudnn-cu11 (>=8.8)", "nvidia-cufft-cu11 (>=10.9)", "nvidia-cusolver-cu11 (>=11.4)", "nvidia-cusparse-cu11 (>=11.7)", "nvidia-nccl-cu11 (>=2.18.3)"]
+cuda12-local = ["jaxlib (==0.4.20+cuda12.cudnn89)"]
+cuda12-pip = ["jaxlib (==0.4.20+cuda12.cudnn89)", "nvidia-cublas-cu12 (>=12.2.5.6)", "nvidia-cuda-cupti-cu12 (>=12.2.142)", "nvidia-cuda-nvcc-cu12 (>=12.2.140)", "nvidia-cuda-runtime-cu12 (>=12.2.140)", "nvidia-cudnn-cu12 (>=8.9)", "nvidia-cufft-cu12 (>=11.0.8.103)", "nvidia-cusolver-cu12 (>=11.5.2)", "nvidia-cusparse-cu12 (>=12.1.2.141)", "nvidia-nccl-cu12 (>=2.18.3)", "nvidia-nvjitlink-cu12 (>=12.2)"]
+minimum-jaxlib = ["jaxlib (==0.4.14)"]
+tpu = ["jaxlib (==0.4.20)", "libtpu-nightly (==0.1.dev20231102)", "requests"]
+
+[[package]]
+name = "jinja2"
+version = "3.1.2"
+description = "A very fast and expressive template engine."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
+[[package]]
+name = "joblib"
+version = "1.3.2"
+description = "Lightweight pipelining with Python functions"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
 
 [[package]]
 name = "keras"
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 ]
 
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+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
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 version = "16.0.6"
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+category = "dev"
+optional = false
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+
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+lingua = ["lingua"]
+testing = ["pytest"]
+
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 [package.extras]
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 version = "1.0.0"
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 test = ["coverage", "flake8", "pytest", "pytest-cov"]
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 [[package]]
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 [[package]]
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 pyasn1 = ">=0.1.3"
 
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@@ -1399,20 +2336,20 @@ test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeo
 
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+    {file = "tensorflow_io_gcs_filesystem-0.34.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:44ad387a812a78e7424bb8bee3820521ae1c044bddf72b1e163e8df95c124a74"},
+    {file = "tensorflow_io_gcs_filesystem-0.34.0-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:7f60183473f0ca966451bb1d1bb5dc29b3cf9c74d1d0e7f2ed46760ed56bd4af"},
+    {file = "tensorflow_io_gcs_filesystem-0.34.0-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:3f346b287ed2400e09b13cfd8524222fd70a66aadb9164c645286c2087007e9f"},
+    {file = "tensorflow_io_gcs_filesystem-0.34.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:027a07553367187f918a99661f63ae0506b91b77a70bee9c7ccaf3920bf7cfe7"},
+    {file = "tensorflow_io_gcs_filesystem-0.34.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8d8664bddbe4e7b56ce94db8b93ea9077a158fb5e15364e11e29f93015ceea24"},
+    {file = "tensorflow_io_gcs_filesystem-0.34.0-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:182b0fbde7e9a537fda0b354c28b0b6c035736728de8fe2db7ef49cf90352014"},
+    {file = "tensorflow_io_gcs_filesystem-0.34.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:0dafed144673e1173528768fe208a7c5a6e8edae40208381cac420ee7c918ec9"},
+    {file = "tensorflow_io_gcs_filesystem-0.34.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:396bfff61b49f80b86ddebe0c76ae0f2731689cee49ad7d782625180b50b13af"},
+    {file = "tensorflow_io_gcs_filesystem-0.34.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b20622f8572fcb6c93e8f7d626327472f263e47ebd63d2153ef09162ef5ef7b5"},
 ]
 
 [package.extras]
@@ -1641,6 +2715,18 @@ files = [
 [package.extras]
 tests = ["pytest", "pytest-cov"]
 
+[[package]]
+name = "threadpoolctl"
+version = "3.2.0"
+description = "threadpoolctl"
+category = "dev"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "threadpoolctl-3.2.0-py3-none-any.whl", hash = "sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032"},
+    {file = "threadpoolctl-3.2.0.tar.gz", hash = "sha256:c96a0ba3bdddeaca37dc4cc7344aafad41cdb8c313f74fdfe387a867bba93355"},
+]
+
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -1679,31 +2765,64 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "1.26.16"
+version = "2.1.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">=3.8"
+files = [
+    {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
+    {file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
+]
+
+[package.extras]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
+
+[[package]]
+name = "waitress"
+version = "2.1.2"
+description = "Waitress WSGI server"
+category = "dev"
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "waitress-2.1.2-py3-none-any.whl", hash = "sha256:7500c9625927c8ec60f54377d590f67b30c8e70ef4b8894214ac6e4cad233d2a"},
+    {file = "waitress-2.1.2.tar.gz", hash = "sha256:780a4082c5fbc0fde6a2fcfe5e26e6efc1e8f425730863c04085769781f51eba"},
+]
+
+[package.extras]
+docs = ["Sphinx (>=1.8.1)", "docutils", "pylons-sphinx-themes (>=1.0.9)"]
+testing = ["coverage (>=5.0)", "pytest", "pytest-cover"]
+
+[[package]]
+name = "websocket-client"
+version = "1.6.4"
+description = "WebSocket client for Python with low level API options"
+category = "dev"
+optional = false
+python-versions = ">=3.8"
 files = [
-    {file = "urllib3-1.26.16-py2.py3-none-any.whl", hash = "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f"},
-    {file = "urllib3-1.26.16.tar.gz", hash = "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"},
+    {file = "websocket-client-1.6.4.tar.gz", hash = "sha256:b3324019b3c28572086c4a319f91d1dcd44e6e11cd340232978c684a7650d0df"},
+    {file = "websocket_client-1.6.4-py3-none-any.whl", hash = "sha256:084072e0a7f5f347ef2ac3d8698a5e0b4ffbfcab607628cadabc650fc9a83a24"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
-socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
+docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
+optional = ["python-socks", "wsaccel"]
+test = ["websockets"]
 
 [[package]]
 name = "werkzeug"
-version = "2.3.7"
+version = "3.0.1"
 description = "The comprehensive WSGI web application library."
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "werkzeug-2.3.7-py3-none-any.whl", hash = "sha256:effc12dba7f3bd72e605ce49807bbe692bd729c3bb122a3b91747a6ae77df528"},
-    {file = "werkzeug-2.3.7.tar.gz", hash = "sha256:2b8c0e447b4b9dbcc85dd97b6eeb4dcbaf6c8b6c3be0bd654e25553e0a2157d8"},
+    {file = "werkzeug-3.0.1-py3-none-any.whl", hash = "sha256:90a285dc0e42ad56b34e696398b8122ee4c681833fb35b8334a095d82c56da10"},
+    {file = "werkzeug-3.0.1.tar.gz", hash = "sha256:507e811ecea72b18a404947aded4b3390e1db8f826b494d76550ef45bb3b1dcc"},
 ]
 
 [package.dependencies]
@@ -1714,14 +2833,14 @@ watchdog = ["watchdog (>=2.3)"]
 
 [[package]]
 name = "wheel"
-version = "0.41.2"
+version = "0.42.0"
 description = "A built-package format for Python"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "wheel-0.41.2-py3-none-any.whl", hash = "sha256:75909db2664838d015e3d9139004ee16711748a52c8f336b52882266540215d8"},
-    {file = "wheel-0.41.2.tar.gz", hash = "sha256:0c5ac5ff2afb79ac23ab82bab027a0be7b5dbcf2e54dc50efe4bf507de1f7985"},
+    {file = "wheel-0.42.0-py3-none-any.whl", hash = "sha256:177f9c9b0d45c47873b619f5b650346d632cdc35fb5e4d25058e09c9e581433d"},
+    {file = "wheel-0.42.0.tar.gz", hash = "sha256:c45be39f7882c9d34243236f2d63cbd58039e360f85d0913425fbd7ceea617a8"},
 ]
 
 [package.extras]
@@ -1850,18 +2969,18 @@ jupyter = ["ipytree (>=0.2.2)", "ipywidgets (>=8.0.0)", "notebook"]
 
 [[package]]
 name = "zipp"
-version = "3.16.2"
+version = "3.17.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"},
-    {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"},
+    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
+    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
 [extras]
@@ -1872,4 +2991,4 @@ tensorflow-cpu = ["tensorflow-cpu"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9, <3.11"
-content-hash = "43f5bc5deed89c8b9346e97f26d679e8c7176f2d1cc9c86e99c8ea7eff73dc3c"
+content-hash = "670589adbeb1e8e344d41369a8466fffb5b365f52a8c06496abca1461127b706"
diff --git a/pyproject.toml b/pyproject.toml
index 7be04fb..e825e7c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "mlpp-lib"
-version = "0.4.2"
+version = "0.5.0"
 description = "Collection of methods for ML-based postprocessing of weather forecasts."
 authors = ["Daniele Nerini <daniele.nerini@meteoswiss.ch>"]
 include = ["LICENSE", "README.md"]
@@ -24,10 +24,11 @@ tensorflow = ["tensorflow"]
 tensorflow-cpu = ["tensorflow-cpu"]
 extended = ["zarr", "numba", "tensorflow"]
 
-[tool.poetry.dev-dependencies]
+[tool.poetry.group.dev.dependencies]
 tensorflow = "~2.12.1"
 pytest = "^7"
 black = "^22.1.0"
+mlflow = "^2.8.1"
 
 [build-system]
 requires = ["poetry-core>=1.0.8"]
diff --git a/tests/test_save_model.py b/tests/test_save_model.py
index a9f0a06..bbfb9b3 100644
--- a/tests/test_save_model.py
+++ b/tests/test_save_model.py
@@ -9,7 +9,7 @@
 from mlpp_lib import models
 from mlpp_lib import losses, metrics
 from mlpp_lib import probabilistic_layers
-from mlpp_lib.utils import get_loss, get_metric
+from mlpp_lib.utils import get_loss, get_metric, get_optimizer
 
 
 def _belongs_here(obj, module):
@@ -63,7 +63,11 @@ def test_save_model(save_format, loss, prob_layer, tmp_path):
         save_traces = False
 
     model = models.fully_connected_network(
-        (5,), 2, hidden_layers=[3], probabilistic_layer=prob_layer
+        (5,),
+        2,
+        hidden_layers=[3],
+        probabilistic_layer=prob_layer,
+        mc_dropout=True,
     )
     assert isinstance(model.from_config(model.get_config()), Functional)
     loss = get_loss(loss)
@@ -104,3 +108,31 @@ def test_save_model(save_format, loss, prob_layer, tmp_path):
     model = tf.keras.saving.load_model(tmp_path, compile=False)
     assert isinstance(model, Functional)
     np.testing.assert_allclose(model(input_arr).mean(), outputs)
+
+
+def test_save_model_mlflow(tmp_path):
+    """Test model save/load"""
+    pytest.importorskip("mlflow")
+
+    import mlflow
+
+    mlflow_uri = f"file://{tmp_path.absolute()}/mlruns"
+    mlflow.set_tracking_uri(mlflow_uri)
+
+    model = models.fully_connected_network(
+        (5,), 2, hidden_layers=[3, 3], dropout=0.5, mc_dropout=True
+    )
+    optimizer = get_optimizer("Adam")
+    model.compile(optimizer=optimizer, loss=None, metrics=None)
+    custom_objects = tf.keras.layers.serialize(model)
+
+    model_info = mlflow.tensorflow.log_model(
+            model,
+            "model_save",
+            custom_objects=custom_objects,
+            keras_model_kwargs={"save_format": "h5"},
+        )
+
+    tf.keras.backend.clear_session()
+    model = mlflow.tensorflow.load_model(model_info.model_uri)
+    assert isinstance(model, Functional)