cnn2 [CNN] Traffic Signs Classification with Explanation Traffic Signs Preprocessed with CNN https://www.kaggle.com/code/emilyjiminroh/cnn-traffic-signs-classification-with-explanation [ ✒️Description ] Sichkar V. N. Real time detection and classification of traffic signs based on YOLO version 3 algorithm. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2020, vol. 20, no. 3, pp. 418–424. DOI: 10.17586/2226-1494-2020.. 2022. 5. 27. [CNN] Fashion-Mnist-Data https://www.kaggle.com/code/emilyjiminroh/cnn-fashion-mnist Import 라이브러리 In [1]: import sys import os In [2]: from keras.datasets import mnist from keras.utils import np_utils # 원-핫 인코딩. np_utils.to_categorical(클래스, 클래스의 개수) In [3]: from keras.models import Sequential from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D from keras.callbacks import ModelCheckpoint, EarlyStopping.. 2022. 3. 31. 이전 1 다음
