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Erstellt / Aktualisiert 28.05.2022 / 28.05.2022
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What is new in deep learning?

What is new (among other things) is a learning algorithm called backpropagation which allows to train deep neural nets

State-of-the-art networks can have over 200 layers!

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So why not use Deep Learning for everything?

There are reasons why we don’t only use DL: - Necessary data not available - Computational power not available - Harder to interpret results - Deep networks can be fooled: