Group theory for machine learning
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.advisor | Amoros, Laia | |
| dc.contributor.author | Visti, Jaakko | |
| dc.contributor.school | Perustieteiden korkeakoulu | fi |
| dc.contributor.supervisor | Hollanti, Camilla | |
| dc.date.accessioned | 2018-10-23T09:11:05Z | |
| dc.date.available | 2018-10-23T09:11:05Z | |
| dc.date.issued | 2018-10-11 | |
| dc.format.extent | 25 | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/34440 | |
| dc.identifier.urn | URN:NBN:fi:aalto-201810235504 | |
| dc.language.iso | en | en |
| dc.programme | Teknistieteellinen kandidaattiohjelma | fi |
| dc.programme.major | Matematiikka ja systeemitieteet | fi |
| dc.programme.mcode | SCI3029 | fi |
| dc.subject.keyword | convolutional neural network | en |
| dc.subject.keyword | rotation | en |
| dc.subject.keyword | group theory | en |
| dc.subject.keyword | Lie group | en |
| dc.subject.keyword | orbit | en |
| dc.title | Group theory for machine learning | en |
| dc.type | G1 Kandidaatintyö | fi |
| dc.type.dcmitype | text | en |
| dc.type.ontasot | Bachelor's thesis | en |
| dc.type.ontasot | Kandidaatintyö | fi |