bor frames, wavelets, curvelets, shearlets, ridgelets) in distinct network layers</p></li>
<li><p>translation-invariant, and we develop deformation stability results</p></li>
</ul>
</li>
<li><p>wiatoski_18 ‚Äú<a class="reference external" href="https://ieeexplore.ieee.org/document/8116648/">A mathematical theory of deep convolutional neural networks for feature extraction</a>‚Äù</p>
<ul>
<li><p>encompasses general convolutional transforms - general semi-discrete frames (including Weyl-Heisenberg fil