Historical snapshot — AY2024/2025 Semester 2 · View current offering →
ModsIE4497AY2024/2025 Semester 2
Pattern Recognition Deep Learning
AY2024/2025 Semester 2
This course introduces the fundamental concepts and methods in pattern recognition and machine learning. Topics covered include Introduction, Bayesian Inference, Mixture Models and EM Algorithm, Markov Models and Hidden Markov Models, Sampling, Markov chain Monte Carlo (MCMC), Neural Networks, Deep Learning (CNN, RNN), Training Deep Networks, Deep Network Architectures, Applications, Generative Models and Self-Supervised Learning.
| AUs | 3.0 AUs |
| Categories | CoreBDE |
| Not Available To Programme | ACBS, ACC, ADM, AISC, ARED, BACF, BASA, BCE, BCG, BEEC, BIE, BMS, BS, BSB, BSPY, BUS, CBE, CBEC, CE, CEE, CEE 1, CEEC, CHEM, CHIN, CMED, CNEL, CNLM, COMP, CS, CSC, CSEC, CVEC, DSAI, ECMA, ECON, ECPP, ECPS, EESS, ELAH, ELH, ELHS, ELPL, ENE, ENEC, ENG, ESPP, HIST, HSCN, HSLM, LMEL, LMPL, LMS, MACS, MAEC, MAEO, MAT, MATH, ME 1, ME(DES), ME(IMS), ME(NULL), ME(RMS), MEEC(DES), MEEC(IMS), MEEC(NULL), MEEC(RMS), MS(ITG), MS(NULL), MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PLCN, PLHS, PPGA, PSLM, PSMA, PSY, REP(ASEN), REP(BIE), REP(CBE), REP(CE), REP(CSC), REP(CVEN), REP(ENE), REP(MAT), REP(ME), SCED, SOC, SPPE, SSM |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |||
|---|---|---|---|---|---|---|---|
| 930 | COMMON LEC (EELE) 0930-1050 Tue ONLINE, LT26 Wk3, Teaching Wk1,2,4-13 | COMMON LEC (EELE) 0930-1050 Tue ONLINE, LT26 Wk3, Teaching Wk1,2,4-13 | COMMON LEC (EELE) 0930-1050 Thu LT22, ONLINE Wk1,2,4-13, Teaching Wk3 | COMMON LEC (EELE) 0930-1050 Thu LT22, ONLINE Wk1,2,4-13, Teaching Wk3 | |||
| 1000 | |||||||
| 1030 | |||||||