diff --git a/list_gpus.py b/list_gpus.py
index ad0ce9c..2beed62 100644
--- a/list_gpus.py
+++ b/list_gpus.py
@@ -1,24 +1,26 @@
 import os
 import sys
+from contextlib import redirect_stderr, redirect_stdout
 
-# Try to mute and then load Tensorflow and Keras
-# Muting seems to not work lately on Linux in any way
-os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
-stdin = sys.stdin
-sys.stdin = open(os.devnull, 'w')
-stderr = sys.stderr
-sys.stderr = open(os.devnull, 'w')
-import tensorflow as tf
-tf.logging.set_verbosity(tf.logging.ERROR)
-from tensorflow.python.client import device_lib
-sys.stdin = stdin
-sys.stderr = stderr
+# Suppress excessive console output and then load Tensorflow and Keras
+# NOTE: This will potentially swallow important or useful information about
+#       problems with your tensorflow/keras installation, but it works.
+#       (Tested on Linux)
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'  # FATAL
+with open(os.devnull, "w") as null:
+    with redirect_stderr(null), redirect_stdout(null):
+        import tensorflow as tf
+        from tensorflow.python.client import device_lib
+        from tensorflow.python.util import deprecation
+
+deprecation._PRINT_DEPRECATION_WARNINGS = False
+tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
 
 # Get list of all devices
 devices = device_lib.list_local_devices()
 
 # Print GPUs only
-print('\n\n\nList of found GPUs:')
+print('\n\n\nList of available CUDNN GPUs:')
 for device in devices:
     if device.device_type == 'GPU':
         print(device.physical_device_desc)
diff --git a/sources/agent.py b/sources/agent.py
index c2d6a98..e4b66c0 100644
--- a/sources/agent.py
+++ b/sources/agent.py
@@ -6,24 +6,26 @@
 import numpy as np
 from sources import CarlaEnv, STOP, models, ACTIONS_NAMES
 from collections import deque
+from contextlib import redirect_stderr, redirect_stdout
 from threading import Thread
 from dataclasses import dataclass
 import cv2
 
-# Try to mute and then load Tensorflow and Keras
-# Muting seems to not work lately on Linux in any way
-os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
-stdin = sys.stdin
-sys.stdin = open(os.devnull, 'w')
-stderr = sys.stderr
-sys.stderr = open(os.devnull, 'w')
-import tensorflow as tf
-tf.logging.set_verbosity(tf.logging.ERROR)
-import keras.backend.tensorflow_backend as backend
-from keras.optimizers import Adam
-from keras.models import load_model, Model
-sys.stdin = stdin
-sys.stderr = stderr
+# Suppress excessive console output and then load Tensorflow and Keras
+# NOTE: This will potentially swallow important or useful information about
+#       problems with your tensorflow/keras installation, but it works.
+#       (Tested on Linux)
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'  # FATAL
+with open(os.devnull, "w") as null:
+    with redirect_stderr(null), redirect_stdout(null):
+        import tensorflow as tf
+        import keras.backend.tensorflow_backend as backend
+        from tensorflow.python.util import deprecation
+        from keras.optimizers import Adam
+        from keras.models import load_model, Model
+
+deprecation._PRINT_DEPRECATION_WARNINGS = False
+tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
 
 
 # Agent class
diff --git a/sources/models.py b/sources/models.py
index 9f3efb0..84ba249 100644
--- a/sources/models.py
+++ b/sources/models.py
@@ -1,21 +1,23 @@
 import os
 import sys
 import settings
-
-# Try to mute and then load Tensorflow and Keras
-# Muting seems to not work lately on Linux in any way
-os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
-stdin = sys.stdin
-sys.stdin = open(os.devnull, 'w')
-stderr = sys.stderr
-sys.stderr = open(os.devnull, 'w')
-import tensorflow as tf
-tf.logging.set_verbosity(tf.logging.ERROR)
-from keras.applications.xception import Xception
-from keras.models import Sequential, Model
-from keras.layers import Dense, GlobalAveragePooling2D, Input, Concatenate, Conv2D, AveragePooling2D, Activation, Flatten
-sys.stdin = stdin
-sys.stderr = stderr
+from contextlib import redirect_stderr, redirect_stdout
+
+# Suppress excessive console output and then load Tensorflow and Keras
+# NOTE: This will potentially swallow important or useful information about
+#       problems with your tensorflow/keras installation, but it works.
+#       (Tested on Linux)
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'  # FATAL
+with open(os.devnull, "w") as null:
+    with redirect_stderr(null), redirect_stdout(null):
+        import tensorflow as tf
+        from tensorflow.python.util import deprecation
+        from keras.applications.xception import Xception
+        from keras.models import Sequential, Model
+        from keras.layers import Dense, GlobalAveragePooling2D, Input, Concatenate, Conv2D, AveragePooling2D, Activation, Flatten
+
+deprecation._PRINT_DEPRECATION_WARNINGS = False
+tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
 
 MODEL_NAME_PREFIX = ''
 
diff --git a/sources/tensorboard.py b/sources/tensorboard.py
index 1a31a9b..b580686 100644
--- a/sources/tensorboard.py
+++ b/sources/tensorboard.py
@@ -1,18 +1,20 @@
 import os
 import sys
+from contextlib import redirect_stderr, redirect_stdout
 
-# Try to mute and then load TensorFlow and Keras
-# Muting seems to not work lately on Linux in any way
-os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
-stdin = sys.stdin
-sys.stdin = open(os.devnull, 'w')
-stderr = sys.stderr
-sys.stderr = open(os.devnull, 'w')
-import tensorflow as tf
-tf.logging.set_verbosity(tf.logging.ERROR)
-from keras.callbacks import Callback
-sys.stdin = stdin
-sys.stderr = stderr
+# Suppress excessive console output and then load Tensorflow and Keras
+# NOTE: This will potentially swallow important or useful information about
+#       problems with your tensorflow/keras installation, but it works.
+#       (Tested on Linux)
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'  # FATAL
+with open(os.devnull, "w") as null:
+    with redirect_stderr(null), redirect_stdout(null):
+        import tensorflow as tf
+        from tensorflow.python.util import deprecation
+        from keras.callbacks import Callback
+
+deprecation._PRINT_DEPRECATION_WARNINGS = False
+tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
 
 # Own Tensorboard class giving ability to use single writer across multiple .fit() calls
 # Allows us also to easily log additional data
diff --git a/sources/trainer.py b/sources/trainer.py
index 366b4f9..2e1d1f3 100644
--- a/sources/trainer.py
+++ b/sources/trainer.py
@@ -3,6 +3,7 @@
 import settings
 from sources import ARTDQNAgent, TensorBoard, STOP, ACTIONS, ACTIONS_NAMES
 from collections import deque
+from contextlib import redirect_stderr, redirect_stdout
 import time
 import random
 import numpy as np
@@ -11,18 +12,19 @@
 from dataclasses import dataclass
 from threading import Thread
 
-# Try to mute and then load Tensorflow
-# Muting seems to not work lately on Linux in any way
-os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
-stdin = sys.stdin
-sys.stdin = open(os.devnull, 'w')
-stderr = sys.stderr
-sys.stderr = open(os.devnull, 'w')
-import tensorflow as tf
-tf.logging.set_verbosity(tf.logging.ERROR)
-import keras.backend.tensorflow_backend as backend
-sys.stdin = stdin
-sys.stderr = stderr
+# Suppress excessive console output and then load Tensorflow and Keras
+# NOTE: This will potentially swallow important or useful information about
+#       problems with your tensorflow/keras installation, but it works.
+#       (Tested on Linux)
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'  # FATAL
+with open(os.devnull, "w") as null:
+    with redirect_stderr(null), redirect_stdout(null):
+        import tensorflow as tf
+        import keras.backend.tensorflow_backend as backend
+        from tensorflow.python.util import deprecation
+
+deprecation._PRINT_DEPRECATION_WARNINGS = False
+tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
 
 
 # Trainer class