The Conference for Machine Learning Innovation

Coding deep Learning – the absolute Minimum an interested Developer should know about Matrices and Backprop

Session
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Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
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Register until the conference starts:
✓ 2-in-1 conference special
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Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Infos
Tuesday, December 5 2017
14:45 - 15:45
Room:
Saal A

Deep Learning is all the hype these days, beating another record most every week. And it’s not just for Google, Facebook, Microsoft & co. – it can work just fine with not-so-big-data and moderate resources, too. Deep learning frameworks abound, and we will see more and more applications starting to integrate deep learning in one or the other way. However, writing code for deep learning is not just coding – it really helps if you have a basic understanding of what’s going on beneath.
In this session, I’ll explain the indispensable bits of matrix algebra and calculus you should know, plus tips and tricks to get started with deep learning frameworks like Keras, PyTorch and TensorFlow.

This Session originates from the archive of Diese Session stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Singapore Singapore .

This Session originates from the archive of Diese Session stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Berlin Berlin .

This Session originates from the archive of Diese Session stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Munich Munich .

This Session Diese Session originates from the archive of stammt aus dem Archiv von BerlinBerlin . Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

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