ecture with a final activation layer that contains most relevant features for classification. The model was previously trained with 521 audio classes based on the Audio Set corpus <span class="citation" data-cites="2017audioset">(Gemmeke et al. 2017)</span>, which are mostly non-musical, short fragments.</p>
<h2 id="subsec:gradients">Sonifying the gradients</h2>
<p>In most machine learning models, <em>gradient descent</em> is the process by which the loss, that is, a function describing the activations of a