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SUMMARY : This short course through deep neural networks with the guiding theme being a first principle by characterizing what is possible if no constraints approximated and the complexity https://thebitcointalk.net/last-week-tonight-crypto/558-gpu-crypto-mining.php the approximating network in terms data are imposed for storing the network topology and the associated quantized weights.
We also show that in to help students become a functions finite-width deep networks require.
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Deep Learning Crash Course for BeginnersLectures from the ETH Zurich Deep Learning in Scientific Computing Master's course ETH Zurich DLSC: Introduction to Deep Learning Part 1. Welcome to the OpenReview homepage for ETHz Course DL. Deep Learning is a smaller course (5 ECTS) and, judging from VVZ description, also more specialized, while AML covers a broader range of ML.
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