吴裕雄 python深度学习与实践(18)
摘要:# coding: utf-8 import time import numpy as np import tensorflow as tf import _pickle as pickle import matplotlib.pyplot as plt def unpickle(filename): import pickle with open(filename, '...
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吴裕雄 python深度学习与实践(17)
摘要:import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data import time # 声明输入图片数据,类别 x = tf.placeholder('float', [None, 784]) y_ = tf.placeholder('float', [None, 10]) # 输入图片数...
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吴裕雄 python深度学习与实践(16)
摘要:import struct import numpy as np import matplotlib.pyplot as plt dateMat = np.ones((7,7)) kernel = np.array([[2,1,1],[3,0,1],[1,1,0]]) def convolve(dateMat,kernel): m,n = dateMat.shape km...
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吴裕雄 python深度学习与实践(15)
摘要:import tensorflow as tf import tensorflow.examples.tutorials.mnist.input_data as input_data mnist = input_data.read_data_sets("D:\\F\\TensorFlow_deep_learn\\MNIST\\", one_hot=True) x_data = tf.plac...
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吴裕雄 python深度学习与实践(14)
摘要:import numpy as np import tensorflow as tf import matplotlib.pyplot as plt threshold = 1.0e-2 x1_data = np.random.randn(100).astype(np.float32) x2_data = np.random.randn(100).astype(np.float32) y_da...
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吴裕雄 python深度学习与实践(13)
摘要:......................... ......................................................
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