Search for tag: "timestep"

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Machine Learning Practical - Week 9 (Live 2022-23) duration 51 minutes 36 seconds Machine Learning Practical - Week 9 (Live 2022-23) Machine Learning Practical - Week 9 (Live 2022-23)	Machine Learning Practical - Week 9 (Live 2022-23) Machine Learning Practical Week 9, Part 1 of 2 on Recurrent Neural Networks. Live lecture from 2022-23. machine learning artificial intelligence recurrent neural networks rnns deep learning input output sequence timestep bit function step thing network computation problem weights account frame steps dimensionality things examples point layer From Pavlos Andreadis 0 likes 22 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English Date Created November 8th, 2022 Retain Source File Yes
UK-APASI in Mathematical Sciences - Kees Oosterlee duration 56 minutes 39 seconds UK-APASI in Mathematical Sciences - Kees Oosterlee UK-APASI in Mathematical Sciences - Kees Oosterlee	UK-APASI in Mathematical Sciences - Kees Oosterlee Subtitles will be added shortly. May 2021 CW (Kees) Oosterlee, Monte Carlo simulation techniques in computational finance, supported by neural networks points collocation option error distribution delta times network function point term interpolation step solution convergence pde timestep simulation carlo monte From Liam Holligan 0 likes 5 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created May 25th, 2021
Partial Differential Equations Lecture 9 -… duration 7 minutes 25 seconds Partial Differential Equations Lecture 9 -… Partial Differential Equations Lecture 9 - MacCormack method in 2D	Partial Differential Equations Lecture 9 - MacCormack method in 2D This part of the lecture develops a 2D solver using the method of Fractional Steps and the MacCormack scheme and applies it to a test problem hyperbolic equation fractional steps numerical methods partial differential equations operator problem conditions function test step direction bit 2pi values delta 3e solution times scheme lecture rise corrector predictor timestep From David Ingram 0 likes 417 plays 0 Course Code SCEE09004 Publisher School of Engineering Licence Type Creative Commons - Attribution Language English Date Created February 16th, 2021