message: Document new Windows DLL requirements
diff: @@ -4,6 +4,10 @@ TensorFlow 2.1 will be the last TF release supporting Python 2. Python 2 support
  ## Major Features and Improvements
  * The `tensorflow` pip package now includes GPU support by default (same as `tensorflow-gpu`) for both Linux and Windows. This runs on machines with and without NVIDIA GPUs. `tensorflow-gpu` is still available, and CPU-only packages can be downloaded at `tensorflow-cpu` for users who are concerned about package size.
  +* **Windows users:** officially-released `tensorflow` Pip packages are now built with Visual
  + Studio 2019 version 16.4 in order to take advantage of the new `/d2ReducedOptimizeHugeFunctions` compiler flag. To use these new packages, you must install "Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019", available from Microsoft's website [here](https://support.microsoft.com/help/2977003/the-latest-supported-visual-c-downloads).
  + * This does not change the minimum required version for building TensorFlow from source on Windows.
  + * If the required DLLs, `msvcp140.dll` (old) and `msvcp140_1.dll` (new), are missing on your machine, `import tensorflow` will print a warning message.
  * The `tensorflow` pip package is built with CUDA 10.1 and cuDNN 7.6.
  * `tf.keras`
  * `Model.fit_generator`, `Model.evaluate_generator`, `Model.predict_generator`, `Model.train_on_batch`, `Model.test_on_batch`, and `Model.predict_on_batch` methods now respect the `run_eagerly` property, and will correctly run using tf.function by default.
  