2019年12月16日

摘要： import glob import os.path import numpy as np import tensorflow as tf from tensorflow.python.platform import gfile import tensorflow.contrib.slim as slim # 加载通过TensorFlow-Slim定义好的inception_v3模型。 impor 阅读全文

摘要： import tensorflow as tf INPUT_NODE = 784 OUTPUT_NODE = 10 IMAGE_SIZE = 28 NUM_CHANNELS = 1 NUM_LABELS = 10 CONV1_DEEP = 32 CONV1_SIZE = 5 CONV2_DEEP = 64 CONV2_SIZE = 5 FC_SIZE = 512 def inference(inp 阅读全文

摘要： 阅读全文

摘要： import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data INPUT_NODE = 784 # 输入节点 OUTPUT_NODE = 10 # 输出节点 LAYER1_NODE = 500 # 隐藏层数 BATCH_SIZE = 100 # 每次batch打包的样本个数 # 模型相关的参数 阅读全文

摘要： ... 阅读全文

摘要： http://playground.tensorflow.org/ 阅读全文

摘要： import tensorflow as tf a = tf.constant([1.0, 2.0], name="a") b = tf.constant([2.0, 3.0], name="b") result = a + b print(result) import... 阅读全文

摘要： ... 阅读全文

摘要： from numpy import * def img2vector(filename): returnVect = zeros((1,1024)) fr = open(filename) for i in range(32): lineStr = fr.readline() for j in range(32): ... 阅读全文