1.训练数据: import tensorflow as tf import cv2 import os import numpy as np import time import matplotlib.pyplot as plt from sklearn.metrics import confusion_matrix, classification_report drop_prob = 0.4 input_imgs = tf.placeholder(dtype=tf.float32,shape…
MNIST数据集上简单CNN实现 觉得有用的话,欢迎一起讨论相互学习~Follow Me 参考文献 Tensorflow机器学习实战指南 源代码请点击下方链接欢迎加星 Tesorflow实现基于MNIST数据集上简单CNN 少说废话多写代码 下载并读取MNIST数据集 import matplotlib.pyplot as plt import numpy as np import tensorflow as tf from tensorflow.contrib.learn.python.lea…