title: Using Tensorflow 1.13 and Keras 2.2.4 with Anaconda
body: <p>I'm using Python with Anaconda. I have installed Tensorflow and Keras by creating a virtual environment:</p>
  
  <pre><code>conda create -n keras-gpu python=3.6 numpy scipy keras-gpu
  </code></pre>
  
  <p>I have used Python 3.6 because 3.7 is officially not yet supported by Keras. This installs Tensorflow 2.0.0 which is a problem because I have to change all imports from <code>from keras.models import Sequential</code> to <code>from tensorflow.keras.models import Sequential</code>. Moreover, while this approach works, pyCharm shows me that <code>Sequential</code> and <code>models</code> are unresolved reference and that <code>keras</code> cannot be found. By the way, how can I fix this? I included python.exe in the virtual environment as the interpreter.</p>
  
  <p>That's why I would like to use Tensorflow 1.13.1 and Keras 2.2.4. How can I create a virtual environment using this versions? <code>keras-gpu</code> just installs the newest versions.</p>
  
  <p>Or else is there a possibility to continue using <code>from keras.models import Sequential</code> with Tensorflow 2?</p>