Teaching
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Dynamical Systems and Deep Learning
This course is given for the first time in Autumn 2015.
| Lectures |
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1- Outline
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2- Dynamical systems |
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3- Hopfield networks |
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4- Markov chains and MCMC |
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5- RBM |
| Exercises |
Sheet 1(Solutions)
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Sheet 2(Solutions)
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Sheet 3(Solutions)
| Sheet 4
Complex Systems
| 2011 Exam Paper
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| Exercises |
Sheet 1(Solutions)
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Sheet 2 (Solutions)
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Sheet 3 (Solutions)
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Sheet 4 (Solutions)
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Sheet 5 (Solutions)
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Sheet 6 (Solutions)
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Sheet 7 (Solutions)
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Sheet 8 (Solutions)
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Sheet 9 (Solutions)
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Computational Teqniques
| Lectures |
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General lecture notes
in PDF format |
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Countable and uncountable sets |
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Linear maps |
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Vector norms |
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Range and Null spaces |
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Symmetric matrices |
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Least square method |
Exercises |
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Sheet 1---(Solutions) |
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Sheet 2---(Solutions) |
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Sheet 3---(Solutions) |
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Sheet 4---(Solutions) |
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Sheet 5 and solutions |
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Domain Theory and Continuous Data Types
Quantum Computing
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