| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |||
| 5 | 6 | 7 | 8 | 9 | 10 | 11 |
| 12 | 13 | 14 | 15 | 16 | 17 | 18 |
| 19 | 20 | 21 | 22 | 23 | 24 | 25 |
| 26 | 27 | 28 | 29 | 30 | 31 |
- 강화학습
- Logistic
- machine learning
- reinforcement learning
- csv
- cost function
- convolutional neural network
- 선형 회귀
- sklearn
- data
- 논리 회귀
- 비용 함수
- Sigmoid Function
- Kaggle
- regression
- iris
- 시그모이드 함수
- RL
- 합성곱 신경망
- CNN
- Q-Learning
- Logistic regression
- 회귀
- 정리
- 기울기 감소 알고리즘
- Neural network
- Deep learning
- Gradient descent algorithm
- 딥 러닝
- 요약
- Today
- Total
목록논문 Study/논문 리뷰 (2)
컴공돌이의 스터디 블로그
[논문 리뷰] User Interest and Social Influence Based Emotion Prediction for Individuals
제목: Improving Acoustic Model for English ASR System using DeepUser Interest and Social Influence Based Emotion Prediction for Individuals 저자: Yun Yang, Peng Cui, Wenwu Zhu, and Shigiang Yang 논문 출처: Proceedings of the 21st ACM international conference on Multimedia 초록 Emotions are playing significant roles in daily life, making emotion prediction important. 감정은 일상 생활에서 중요한 역할을 하므로, 감정 예측이 중요합니다. ..
[논문 리뷰] Improving Acoustic Model for English ASR System using Deep Neural Network
제목: Improving Acoustic Model for English ASR System using Deep Neural Network 저자: Quoc Bao Nguyen, Tat Thang Vu, and Chi Mai Luong 논문 출처: The 2015 IEEE RIVF International Conference on Computing & Communication Technologies-Research, Innovation, and Vision for Future (RIVF) 초록 In this paper, a method based on deep learning is applied to improve acoustic model for English Automatic Speech Recogni..