#实质是卷积运算#1、灰度处理，2、高斯滤波，3、边缘检测import cv2import numpy as npimport randomimg = cv2.imread('car.jpg', 1)imgInfo = img.shapeheight = imgInfo[0]width = imgInfo[1]cv2.imshow('src',img)gray = cv2....

#1、转灰度， 2、分成小方块，统计灰度值， 3,、把0-255分成几个等级，将2映射到此范围内#4、找小方块中灰度等级最多的像素等级，并求其均值#5、平均值替换原来像素值import cv2import numpy as npimg = cv2.imread('car.jpg', 1)cv2.imshow('src',img)imgInfo = img.shapeheight ...

import tensorflow as tfimport numpy as npimport matplotlib.pyplot as pltdate = np.linspace(1, 15, 15)endPrice = np.array([2511.90, 2538.26, 2510.68, 2591.66, 2732.98, 2710.69, 2701.29, 2670.67, 2...

ed2k://|file|cn_visual_studio_community_2015_x86_dvd_6847368.iso|4013920256|EB7F6605EDE67509E218E29173AC6574|/

参考：https://sthsf.github.io/wiki/Algorithm/DeepLearning/使用Tensorflow爬过的坑/tensorflow.python.framework.errors_impl.NotFoundError.html写在前面一般地，我们在使用tensorflow进行深度学习模型训练之后都可以将模型的训练参数保存下来保存下来，然后结合原有的网络结构...