title: How is Filter Concatenation implemented in Tensorflow?
body: <p>Looking at <strong>GoogleNet</strong> architecture you can see such blocks:
  <a href="https://i.stack.imgur.com/QUtQb.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/QUtQb.png" alt="enter image description here"></a></p>
  
  <p>convolution operation is <strong>tf.nn.conv2d()</strong> </p>
  
  <p>pooling is <strong>tf.nn.max_pool()</strong></p>
  
  <p>But I cannot find in examples and tutorials how is Filter Concatenation implemented in TF?</p>