Notice
| 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 |
Tags
- YouTube 8M
- Anaconda
- Windows 10
- pyTorch
- keras
- windows
- python
- face_recognition
- colab
- download
- raspberry pi
- urllib
- Deep Learning
- Jupyter notebook
- colaboratory
- shakeratos
- error
- dlib
- dataset
- install
- object detection
- FIle
- python3
- ubuntu
- linux
- gpu memory
- 딥러닝
- TensorFlow
- CUDA
- ppc64le
Archives
- Today
- Total
목록모델 평가 (1)
Shakerato
Role of validation for neural network (deep learning) - validation 역할
Why do we need validation (validation이 필요한 이유)? In order to estimate how well your model has been trained (that is dependent upon the size of your data, the value you would like to predict, input etc) and to estimate model properties (mean error for numeric predictors, classification errors for classifiers, recall and precision for IR-models etc.) - 모델이 학습이 잘 되었는지 측정하기 위해 A set of examples used ..
Research
2018. 4. 1. 21:39