# 创建神经网络, 使用tensorboard 展示graph import tensorflow as tf import numpy as np import matplotlib.pyplot as plt # 若没有 pip install matplotlib # 定义一个神经层 def add_layer(inputs, in_size, out_size, activation_function=None): #add one more layer and return the o
windows下使用tensorboard tensorflow 官网上的例子程序都是针对Linux下的:文件路径需要更改 tensorflow1.1和1.3的启动方式不一样 :参考:Running on Google Cloud found : No module named tensorflow.tensorboard Could you try using python -m tensorboard --logdir "${MODEL_DIR}" instead? I suspe
1.如果需要将label靠左边对齐,则必须重写底层源码 新增mxText的一个构造器,主要是增加了一个参数:x(代表当前的cell) function mxText(a, b, c, d, e, f, g, h, k, i, l, m, n, o, p, q, t, u, v, w, x) { this.value = a; this.bounds = b; this.color = e != null ? e : "black"; this.align = c != null ? c
参考网上的:https://github.com/tensorflow/tensorflow/issues/8854 import tensorflow as tf from tensorflow.python.platform import gfile with tf.Session() as sess: model_filename ='PATH_TO_PB.pb' with gfile.FastGFile(model_filename, 'rb') as f: graph_def = tf
/// the original blog is http://www.cnblogs.com/tmzbot/p/5579020.html , automatic crawling without link to original blog is unallowed. 判定 + 寻找一组解 (感觉这个东西挺有意思的记录一下..) /// the original blog is http://www.cnblogs.com/tmzbot/p/5579020.html , automatic cr