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  1. SECURITY.md

    covering security practices for the entirety of the TensorFlow ecosystem.
    
    ## TensorFlow models are programs
    
    TensorFlow
    [**models**](https://developers.google.com/machine-learning/glossary/#model) (to
    use a term commonly used by machine learning practitioners) are expressed as
    programs that TensorFlow executes. TensorFlow programs are encoded as
    computation
    [**graphs**](https://developers.google.com/machine-learning/glossary/#graph).
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  2. ci/devinfra/docker_windows/Dockerfile

    # are made to the Windows 10 SDK.
    RUN $old_path = [Environment]::GetEnvironmentVariable(\"PATH\", \"Machine\"); \
        [Environment]::SetEnvironmentVariable(\"PATH\", $old_path + \";C:\Program Files (x86)\Windows Kits\10\App Certification Kit\", \"Machine\");
    
    # Install WiX toolset (v4) - Necessary for MSI Installer/Signing builds
    RUN dotnet tool install --global wix
    
    # Install msys2, packages and add to path.
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  3. RELEASE.md

        1.  To switch tf.keras to use Keras 2 (tf-keras), set the environment
            variable TF_USE_LEGACY_KERAS=1 directly or in your python program by
            import os;os.environ["TF_USE_LEGACY_KERAS"]=1. Please note that this
            will set it for all packages in your Python runtime program
    
    *   1.  Change import of keras from tensorflow as follows
    *   import tensorflow.keras as keras and import keras to import tf_keras as
        keras
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  4. README.md

    *Nightly binaries are available for testing using the
    [tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
    [tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPi.*
    
    #### *Try your first TensorFlow program*
    
    ```shell
    $ python
    ```
    
    ```python
    >>> import tensorflow as tf
    >>> tf.add(1, 2).numpy()
    3
    >>> hello = tf.constant('Hello, TensorFlow!')
    >>> hello.numpy()
    b'Hello, TensorFlow!'
    ```
    
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