Update requirements, e.g. add tf-agents, tf serving api, etc.
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@ -29,7 +29,7 @@ jupyter==1.0.0
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matplotlib==3.0.3
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matplotlib==3.0.3
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numpy==1.16.2
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numpy==1.16.2
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pandas==0.24.1
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pandas==0.24.1
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scipy==1.2.1
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scipy==1.1.0
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##### Machine Learning packages
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##### Machine Learning packages
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@ -39,15 +39,15 @@ scikit-learn==0.20.3
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xgboost==0.82
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xgboost==0.82
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##### Deep Learning packages
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##### TensorFlow-related packages
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# Replace tensorflow with tensorflow-gpu if you want GPU support. If so,
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# Replace tensorflow with tensorflow-gpu if you want GPU support. If so,
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# you need a GPU card with CUDA Compute Capability 3.5 or higher support, and
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# you need a GPU card with CUDA Compute Capability 3.5 or higher support, and
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# you must install CUDA, cuDNN and more: see tensorflow.org for the detailed
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# you must install CUDA, cuDNN and more: see tensorflow.org for the detailed
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# installation instructions.
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# installation instructions.
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tensorflow==2.0.0a0
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tf-nightly-2.0-preview
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#tensorflow-gpu==2.0.0a0
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#tf-nightly-gpu-2.0-preview
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#tensorboard
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#tensorboard
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tb-nightly
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tb-nightly
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@ -57,21 +57,19 @@ tfds-nightly
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tensorflow-hub
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tensorflow-hub
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#tensorflow-probability
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# Optional: only used in chapter 13.
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tfp-nightly
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#tensorflow-transform==0.13.0
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tensorflow-transform
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# Optional: only used in chapter 16.
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# At the present (April 2019) the TF Addons library is only available on Linux
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# At the present (April 2019) the TF Addons library is only available on Linux
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# So uncomment this line if you are using Linux.
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# So uncomment this line if you are using Linux.
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#tensorflow-addons
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#tensorflow-addons
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# Optional: OpenAI gym is only needed for the Reinforcement Learning chapter.
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# Optional: the TF Agents library is only needed in chapter 18
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# There are a few dependencies you need to install first, check out:
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tf-agents-nightly
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# https://github.com/openai/gym#installing-everything
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#gym[all]==0.10.9
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# Optional: the TF Serving API library is just needed for chapter 19.
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# If you only want to install the Atari dependency, uncomment this line instead:
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tensorflow-serving-api
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#gym[atari]==0.10.9
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##### Image manipulation
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##### Image manipulation
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@ -80,10 +78,15 @@ Pillow==5.4.1
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scikit-image==0.14.2
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scikit-image==0.14.2
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##### Extra packages (optional)
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##### Reinforcement Learning library
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# Nice utility to diff Jupyter Notebooks.
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# OpenAI gym is only needed in chapter 18.
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#nbdime==1.0.5
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# There are a few dependencies you need to install first, check out:
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# https://github.com/openai/gym#installing-everything
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gym[atari]==0.10.9
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##### Additional utilities
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# Joblib is a set of tools to provide lightweight pipelining
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# Joblib is a set of tools to provide lightweight pipelining
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joblib==0.13.2
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joblib==0.13.2
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@ -92,11 +95,17 @@ joblib==0.13.2
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# tutorial).
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# tutorial).
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numexpr==2.6.9
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numexpr==2.6.9
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# Optional: these libraries can be useful in the classification chapter,
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# Optional: these libraries can be useful in chapter 3, exercise 4.
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# exercise 4.
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nltk==3.4
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nltk==3.4
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urlextract==0.9
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urlextract==0.9
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# Needed in chapter 19.
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requests==2.22.0
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# Optional: nice utility to diff Jupyter Notebooks.
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#nbdime==1.0.5
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# Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook support
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# Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook support
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tqdm==4.31.1
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tqdm==4.31.1
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ipywidgets==7.4.2
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ipywidgets==7.4.2
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