<p>Text like this is less common. In papers there are two common ways. First tables have been widely used to convey the structure of a NN, purely with text. An example for this would be the VGG networks(<a href="https://arxiv.org/pdf/1409.1556.pdf" rel="nofollow noreferrer">https://arxiv.org/pdf/1409.1556.pdf</a>). </p>

<p>The other common way, which does not purely use text, is to show a graph as is done by the ResNet Paper (<a href="https://arxiv.org/pdf/1409.1556.pdf" rel="nofollow noreferrer">https://arxiv.org/pdf/1409.1556.pdf</a>) or the inception networks. </p>
What is the best practice to represent a CNN network by text?
<p>What is the best practice to represent a CNN network by text?</p>

<p>for example the following text is a common way to representing a CNN network:</p>

<pre><code>INPUT -&gt; CONV -&gt; RELU -&gt; FC
</code></pre>

<p>But input size, filter (kernel) size, number of strides, padding and many parameters in each layer does not specified.</p>

<p>Is there any best practice to representing a CNN network (for example AlexNet) by text?</p>