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114 | 114 | 2, |
115 | 115 | None, |
116 | 116 | 'possible-paths-for-the-projects'), |
| 117 | + ('The generative models', 2, None, 'the-generative-models'), |
117 | 118 | ('Paths for projects, writing own codes', |
118 | 119 | 2, |
119 | 120 | None, |
|
374 | 375 | <!-- navigation toc: --> <li><a href="#discriminative-modeling" style="font-size: 80%;">Discriminative Modeling</a></li> |
375 | 376 | <!-- navigation toc: --> <li><a href="#taxonomy-of-generative-deep-learning-taken-from-generative-deep-learning-by-david-foster-https-www-oreilly-com-library-view-generative-deep-learning-9781098134174-ch01-html" style="font-size: 80%;">Taxonomy of generative deep learning, "taken from Generative Deep Learning by David Foster":"https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/ch01.html"</a></li> |
376 | 377 | <!-- navigation toc: --> <li><a href="#possible-paths-for-the-projects" style="font-size: 80%;">Possible paths for the projects</a></li> |
| 378 | + <!-- navigation toc: --> <li><a href="#the-generative-models" style="font-size: 80%;">The generative models</a></li> |
377 | 379 | <!-- navigation toc: --> <li><a href="#paths-for-projects-writing-own-codes" style="font-size: 80%;">Paths for projects, writing own codes</a></li> |
378 | 380 | <!-- navigation toc: --> <li><a href="#the-application-path" style="font-size: 80%;">The application path</a></li> |
379 | 381 | <!-- navigation toc: --> <li><a href="#gaussian-processes-and-bayesian-analysis" style="font-size: 80%;">Gaussian processes and Bayesian analysis</a></li> |
@@ -766,6 +768,13 @@ <h2 id="possible-paths-for-the-projects" class="anchor">Possible paths for the p |
766 | 768 |
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767 | 769 | <p>For those interested in mathematical aspects of deep learning, this could also be included.</p> |
768 | 770 |
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| 771 | +<!-- !split --> |
| 772 | +<h2 id="the-generative-models" class="anchor">The generative models </h2> |
| 773 | + |
| 774 | +<p>This path brings us from discriminative models (like the standard application of NNs, CNNs etc) to generative models. Two projects that follow to a large extent |
| 775 | +the lectures. Topics for data sets will be discussed during the lab sessions. |
| 776 | +</p> |
| 777 | + |
769 | 778 | <!-- !split --> |
770 | 779 | <h2 id="paths-for-projects-writing-own-codes" class="anchor">Paths for projects, writing own codes </h2> |
771 | 780 |
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