摘要：import numpy as np import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data # 定义函数转化变量类型。 def _int64_feature(value): return tf.train.Feature(int64_list=tf.train.Int64List(val 阅读全文

摘要：tf.python_io出错 TensorFlow 2.0 中使用 Python_io 暂时使用如下指令： tf.compat.v1.python_io.TFRecordWriter(filename) 阅读全文

摘要：1.在自己编译器运行的python环境的...\Python3\Lib\site-packages,该目录下有文件夹tensorflow, tensorflow_core, ensorflow_estimator 2.进入tensorflow_core\examples文件夹，如果文件夹下只有sav 阅读全文

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

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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

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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

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