Update lib versions

requirements.txt

@@ -5,19 +5,19 @@
 
 ##### Core scientific packages
 jupyterlab~=3.2.0
-matplotlib~=3.4.3
-numpy~=1.19.5
-pandas~=1.3.3
-scipy~=1.7.1
+matplotlib~=3.5.0
+numpy~=1.22.0
+pandas~=1.4.0
+scipy~=1.8.0
 
 ##### Machine Learning packages
-scikit-learn~=1.0.1
+scikit-learn~=1.0.2
 
-# Optional: the XGBoost library is only used in chapter 6
-xgboost~=1.4.2
+# Optional: the XGBoost library is only used in chapter 7
+xgboost~=1.5.0
 
-# Optional: the transformers library is only using in chapter 15
-transformers~=4.11.3
+# Optional: the transformers library is only using in chapter 16
+transformers~=4.16.2
 
 ##### TensorFlow-related packages
 
@@ -27,23 +27,19 @@ transformers~=4.11.3
 # you must install CUDA, cuDNN and more: see tensorflow.org for the detailed
 # installation instructions.
 
-tensorflow~=2.6.0
+tensorflow~=2.7.1
 # Optional: the TF Serving API library is just needed for chapter 18.
-tensorflow-serving-api~=2.6.0 # or tensorflow-serving-api-gpu if gpu
+tensorflow-serving-api~=2.7.0 # or tensorflow-serving-api-gpu if gpu
 
-tensorboard~=2.7.0
+tensorboard~=2.8.0
 tensorboard-plugin-profile~=2.5.0
-tensorflow-datasets~=4.4.0
+tensorflow-datasets~=4.5.2
 tensorflow-hub~=0.12.0
-tensorflow-probability~=0.14.1
 
-# Optional: only used in chapter 12.
-tfx~=1.3.0
+# Optional: used in chapters 11 & 16 (for AdamW & seq2seq)
+tensorflow-addons~=0.15.0
 
-# Optional: only used in chapter 15.
-tensorflow-addons~=0.14.0
-
-##### Reinforcement Learning library (chapter 17)
+##### Reinforcement Learning library (chapter 18)
 
 # There are a few dependencies you need to install first, check out:
 # https://github.com/openai/gym#installing-everything
@@ -51,45 +47,42 @@ gym[Box2D,atari,accept-rom-license]~=0.21.0
 
 # WARNING: on Windows, installing Box2D this way requires:
 # * Swig: http://www.swig.org/download.html
-# * Microsoft C++ Build Tools: https://visualstudio.microsoft.com/visual-cpp-build-tools/
+# * Microsoft C++ Build Tools:
+#   https://visualstudio.microsoft.com/visual-cpp-build-tools/
 # It's much easier to use Anaconda instead.
 
-tf-agents~=0.10.0
-
 ##### Image manipulation
-Pillow~=8.4.0
-graphviz~=0.17
-opencv-python~=4.5.3.56
+Pillow~=9.0.0
+graphviz~=0.19.1
 pyglet~=1.5.21
 
-#pyvirtualdisplay # needed in chapter 17, if on a headless server
+#pyvirtualdisplay # needed in chapter 18, if on a headless server
                   # (i.e., without screen, e.g., Colab or VM)
 
 
 ##### Additional utilities
 
 # Efficient jobs (caching, parallelism, persistence)
-joblib~=0.14.1
+joblib~=1.1.0
 
 # Easy http requests
-requests~=2.26.0
+requests~=2.27.0
 
 # Nice utility to diff Jupyter Notebooks.
 nbdime~=3.1.0
 
 # May be useful with Pandas for complex "where" clauses (e.g., Pandas
 # tutorial).
-numexpr~=2.7.3
+numexpr~=2.8.0
 
-# Optional: these libraries can be useful in the chapter 3, exercise 4.
+# Optional: these libraries can be useful in chapter 3, exercise 4.
 nltk~=3.6.5
-urlextract~=1.4.0
+urlextract~=1.5.0
 
-# Optional: these libraries are only used in chapter 15
-ftfy~=6.0.3
+# Optional: these libraries are only used in chapter 16
+ftfy~=5.5.0
 
-# Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook support
+# Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook
+#           support
 tqdm~=4.62.3
 ipywidgets~=7.6.5
-
-