One Paragraph of project description goes here
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
| import numpy as np | |
| from keras import backend as K | |
| from keras.models import Sequential | |
| from keras.layers.core import Dense, Dropout, Activation, Flatten | |
| from keras.layers.convolutional import Convolution2D, MaxPooling2D | |
| from keras.preprocessing.image import ImageDataGenerator | |
| from sklearn.metrics import classification_report, confusion_matrix | |
| #Start | |
| train_data_path = 'F://data//Train' |