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seperated tensorflow and tensorflow-gpu

/develop-generalizationTraining-TrainerController
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      docs/Installation-Windows.md

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docs/Installation-Windows.md


You should see `(ml-agents)` prepended on the last line.
Next, install `tensorflow` and `tensorflow-gpu`. Install these packages using `pip` - which is a package management system used to install Python packages. In the same Anaconda Prompt, type in the following command _(make sure you are connected to the internet)_:
Next, install `tensorflow`. Install this package using `pip` - which is a package management system used to install Python packages. In the same Anaconda Prompt, type in the following command _(make sure you are connected to the internet)_:
pip install tensorflow tensorflow-gpu
pip install tensorflow
```
## Step 3: Install Required Python Packages

alt="Path variables"
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</p>
## (Optional) Step 4: Install TensorFlow GPU
Next, install `tensorflow-gpu` using `pip`. In an Anaconda Prompt with the Conda environment ml-agents activated, type in the following command _(make sure you are connected to the internet)_:
```
pip install tensorflow-gpu
```
Lastly, you should test to see if everything installed properly and that TensorFlow can identify your GPU. In the same Anaconda Prompt, type in the following command:

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