Why deeplearning4j regression example doesn't apply normalization for summing?
<p>While debugging regression <a href="https://github.com/deeplearning4j/dl4j-examples/blob/master/dl4j-examples/src/main/java/org/deeplearning4j/examples/feedforward/regression/RegressionSum.java" rel="nofollow noreferrer">sample</a> of deeplearning4j I've noticed that it doesn't have normalization of data inputs and outputs. So first of all question, why it doesn't have normalization? And second question, is there somewhere in network architecture normalization mechanism?</p>

<p>As prof of non-normalized input is the following screenshot which was taken right before execution of line</p>

<pre><code>return new ListDataSetIterator(listDs,batchSize);
</code></pre>

<p><a href="https://i.stack.imgur.com/0oOS5.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/0oOS5.png" alt="enter image description here"></a></p>