SubjectsSubjects(version: 825)
Course, academic year 2017/2018
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Neural nets in particle physics - NJSF138
Czech title: Neuronové sítě v částicové fyzice
Guaranteed by: Institute of Particle and Nuclear Physics (32-UCJF)
Faculty: Faculty of Mathematics and Physics
Actual: from 2015
Semester: winter
E-Credits: 4
Hours per week, examination: winter s.:2/1 Ex [hours/week]
Capacity: unlimited
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Guarantor: Mgr. Tomáš Sýkora, Ph.D.
Annotation -
Last update: T_UCJF (18.04.2012)

for 3th year and higher
Literature -
Last update: T_UCJF (19.03.2015)

Christopher M. Bishop, Neural Networks for Pattern Recognition, ISBN-13: 978-0198538646

Christopher M. Bishop, Pattern Recognition and Machine Learning, ISBN-13: 978-0387310732

Syllabus -
Last update: T_UCJF (18.04.2012)

  • elements of probability theory - probability density, covariance, Bayesian definition of probability, the Gaussian distribution, data approximation
  • probability distribution - the beta distribution, the Dirichlet distribution, maximum likelihood of the Gaussian distribution, the Student t-distribution
  • linear models for regression - linear basis models, maximum likelihood and least squares, sequential learning, regularized minimal squares, bias-variance decomposition, Bayesian linear regression, limitations of linear models with fixed basis
  • linear classification models - discriminant functions, probabilistic discriminative models, the Laplace approximation, Bayesian logistic regression
  • neural nets - training, error backpropagation, the Hessian matrix, regularization in neural network, Bayesian neural networks
  • dual use of neural networks - approximations and decisions

 
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