title: What is the difference between these two ways of adding Neural Network layers in Keras?
body: <p>I'm using Keras with a Theano as a backend and I have Sequential neural network model.</p>
  
  <p>I wonder is there a difference between following?</p>
  
  <pre><code>model.add(Convolution2D(32, 3, 3, activation='relu'))
  </code></pre>
  
  <p>and </p>
  
  <pre><code>model.add(Convolution2D(32, 3, 3))
  model.add(Activation('relu'))
  </code></pre>