Upgrade to TensorFlow 2.8

10_neural_nets_with_keras.ipynb

@@ -77,7 +77,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "And TensorFlow ≥ 2.7:"
+    "And TensorFlow ≥ 2.8:"
    ]
   },
   {
@@ -88,7 +88,7 @@
    "source": [
     "import tensorflow as tf\n",
     "\n",
-    "assert tf.__version__ >= \"2.7.0\""
+    "assert tf.__version__ >= \"2.8.0\""
    ]
   },
   {

11_training_deep_neural_networks.ipynb

@@ -77,7 +77,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "And TensorFlow ≥ 2.6:"
+    "And TensorFlow ≥ 2.8:"
    ]
   },
   {
@@ -88,7 +88,7 @@
    "source": [
     "import tensorflow as tf\n",
     "\n",
-    "assert tf.__version__ >= \"2.6.0\""
+    "assert tf.__version__ >= \"2.8.0\""
    ]
   },
   {

12_custom_models_and_training_with_tensorflow.ipynb

@@ -59,7 +59,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "And TensorFlow ≥ 2.6:"
+    "And TensorFlow ≥ 2.8:"
    ]
   },
   {
@@ -70,7 +70,7 @@
    "source": [
     "import tensorflow as tf\n",
     "\n",
-    "assert tf.__version__ >= \"2.6.0\""
+    "assert tf.__version__ >= \"2.8.0\""
    ]
   },
   {

13_loading_and_preprocessing_data.ipynb

@@ -77,7 +77,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "And TensorFlow ≥ 2.6:"
+    "And TensorFlow ≥ 2.8:"
    ]
   },
   {
@@ -88,7 +88,7 @@
    "source": [
     "import tensorflow as tf\n",
     "\n",
-    "assert tf.__version__ >= \"2.7.0\""
+    "assert tf.__version__ >= \"2.8.0\""
    ]
   },
   {

14_deep_computer_vision_with_cnns.ipynb

@@ -94,7 +94,7 @@
     "id": "GJtVEqxfpKzw"
    },
    "source": [
-    "And TensorFlow ≥ 2.6:"
+    "And TensorFlow ≥ 2.8:"
    ]
   },
   {
@@ -107,7 +107,7 @@
    "source": [
     "import tensorflow as tf\n",
     "\n",
-    "assert tf.__version__ >= \"2.6.0\""
+    "assert tf.__version__ >= \"2.8.0\""
    ]
   },
   {

15_processing_sequences_using_rnns_and_cnns.ipynb

@@ -88,7 +88,7 @@
     "id": "GJtVEqxfpKzw"
    },
    "source": [
-    "And TensorFlow ≥ 2.6:"
+    "And TensorFlow ≥ 2.8:"
    ]
   },
   {
@@ -101,7 +101,7 @@
    "source": [
     "import tensorflow as tf\n",
     "\n",
-    "assert tf.__version__ >= \"2.6.0\""
+    "assert tf.__version__ >= \"2.8.0\""
    ]
   },
   {

16_nlp_with_rnns_and_attention.ipynb

@@ -98,7 +98,7 @@
     "id": "GJtVEqxfpKzw"
    },
    "source": [
-    "And TensorFlow ≥ 2.6:"
+    "And TensorFlow ≥ 2.8:"
    ]
   },
   {
@@ -111,7 +111,7 @@
    "source": [
     "import tensorflow as tf\n",
     "\n",
-    "assert tf.__version__ >= \"2.6.0\""
+    "assert tf.__version__ >= \"2.8.0\""
    ]
   },
   {

17_autoencoders_and_gans.ipynb

@@ -100,7 +100,7 @@
     "id": "GJtVEqxfpKzw"
    },
    "source": [
-    "And TensorFlow ≥ 2.6:"
+    "And TensorFlow ≥ 2.8:"
    ]
   },
   {
@@ -113,7 +113,7 @@
    "source": [
     "import tensorflow as tf\n",
     "\n",
-    "assert tf.__version__ >= \"2.6.0\""
+    "assert tf.__version__ >= \"2.8.0\""
    ]
   },
   {

18_reinforcement_learning.ipynb

@@ -100,7 +100,7 @@
     "id": "GJtVEqxfpKzw"
    },
    "source": [
-    "And TensorFlow ≥ 2.6:"
+    "And TensorFlow ≥ 2.8:"
    ]
   },
   {
@@ -113,7 +113,7 @@
    "source": [
     "import tensorflow as tf\n",
     "\n",
-    "assert tf.__version__ >= \"2.6.0\""
+    "assert tf.__version__ >= \"2.8.0\""
    ]
   },
   {

19_training_and_deploying_at_scale.ipynb

@@ -100,7 +100,7 @@
     "id": "GJtVEqxfpKzw"
    },
    "source": [
-    "And TensorFlow ≥ 2.6:"
+    "And TensorFlow ≥ 2.8:"
    ]
   },
   {
@@ -113,7 +113,7 @@
    "source": [
     "import tensorflow as tf\n",
     "\n",
-    "assert tf.__version__ >= \"2.6.0\""
+    "assert tf.__version__ >= \"2.8.0\""
    ]
   },
   {

environment.yml

@@ -33,11 +33,11 @@ dependencies:
   - pip:
     - tensorboard-plugin-profile~=2.5.0  # profiling plugin for TensorBoard
     - tensorboard~=2.8.0  # TensorFlow's visualization toolkit
-    - tensorflow-addons~=0.15.0  # used in chapters 11 & 16 (for AdamW & seq2seq)
+    - tensorflow-addons~=0.16.1  # used in chapters 11 & 16 (for AdamW & seq2seq)
     - tensorflow-datasets~=4.5.2  # datasets repository, ready to use
     - tensorflow-hub~=0.12.0  # trained ML models repository, ready to use
-    - tensorflow-serving-api~=2.7.0  # or tensorflow-serving-api-gpu if gpu
-    - tensorflow~=2.7.1  # Deep Learning library
+    - tensorflow-serving-api~=2.8.0  # or tensorflow-serving-api-gpu if gpu
+    - tensorflow~=2.8.0  # Deep Learning library
     - transformers~=4.16.2  # Natural Language Processing lib for TF or PyTorch
     - urlextract~=1.5.0  # optionally used in chapter 3, exercise 4
     - gym[atari,accept-rom-license]~=0.21.0  # used only in chapter 18

requirements.txt

@@ -27,9 +27,9 @@ transformers~=4.16.2
 # you must install CUDA, cuDNN and more: see tensorflow.org for the detailed
 # installation instructions.
 
-tensorflow~=2.7.1
+tensorflow~=2.8.0
 # Optional: the TF Serving API library is just needed for chapter 18.
-tensorflow-serving-api~=2.7.0 # or tensorflow-serving-api-gpu if gpu
+tensorflow-serving-api~=2.8.0  # or tensorflow-serving-api-gpu if gpu
 
 tensorboard~=2.8.0
 tensorboard-plugin-profile~=2.5.0
@@ -37,7 +37,7 @@ tensorflow-datasets~=4.5.2
 tensorflow-hub~=0.12.0
 
 # Optional: used in chapters 11 & 16 (for AdamW & seq2seq)
-tensorflow-addons~=0.15.0
+tensorflow-addons~=0.16.1
 
 ##### Reinforcement Learning library (chapter 18)
 
@@ -56,7 +56,7 @@ Pillow~=9.0.0
 graphviz~=0.19.1
 pyglet~=1.5.21
 
-#pyvirtualdisplay # needed in chapter 18, if on a headless server
+#pyvirtualdisplay  # needed in chapter 18, if on a headless server
                   # (i.e., without screen, e.g., Colab or VM)