문의를 보내주셔서 감사합니다! 팀원이 곧 연락드리겠습니다.
예약을 보내주셔서 감사합니다! 저희 팀 멤버 중 한 분이 곧 연락드리겠습니다.
코스 개요
- 백프롭, 모듈형 모델
- Logsum 모듈
- RBF 넷
- MAP/MLE 손실
- 매개변수 공간 변환
- 합성 모듈
- 경사 기반 학습
- 추론을 위한 에너지
- 학습 목표
- PCA, NLL
- 잠재 변수 모델
- 확률적 LVM
- 손실 함수
- 필기 인식
요건
Go기본적인 기계 학습에 대한 기초 지식. Programming 모든 언어에 대한 기술(이상적으로는 Python/R).
21 시간
회원 평가 (7)
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
코스 - Introduction to Deep Learning
The deep knowledge of the trainer about the topic.
Sebastian Gorg
코스 - Introduction to Deep Learning
I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient.
Radek
코스 - Introduction to Deep Learning
Exercises after each topic were really helpful, despite there were too complicated at the end. In general, the presented material was very interesting and involving! Exercises with image recognition were great.
Dolby Poland Sp. z o.o.
코스 - Introduction to Deep Learning
Topic. Very interesting!.
Piotr
코스 - Introduction to Deep Learning
Trainers theoretical knowledge and willingness to solve the problems with the participants after the training.
Grzegorz Mianowski
코스 - Introduction to Deep Learning
The topic is very interesting.
