import numpy as np from PIL import Image import pickle import os CHANNEL = 3 WIDTH = 32 HEIGHT = 32 data = [] labels=[] classification = ['airplane','automobile','bird','cat','deer','dog','frog',...
首先了解一下需要的几个类所在的package from torchvision import transforms, datasets as ds from torch.utils.data import DataLoader import matplotlib.pyplot as plt import numpy as np #transform = t...
import cv2 import numpy as np import os import pickle data_dir = os.path.join("data", "cifar-10-batches-py") train_o_dir = os.path.join("data", "train") test_o_dir = os.path.join("data", "test") ...
Tensorflow复现DenseNet 一. 网络特性 1.从根本解决问题 2.更少的参数 3.避免梯度消失 二.网络结构 三.完整代码: 四.训练结果 五.问题记录 1.参数配置 2.dropout的使用 偶然了解到一...