摘要：import tensorflow as tf v = tf.Variable(0, dtype=tf.float32, name="v") ema = tf.train.ExponentialMovingAverage(0.99) print(ema.variables_to_restore()) saver = tf.train.Saver({"v/ExponentialMovingAv... 阅读全文

摘要：import tensorflow as tf v = tf.Variable(0, dtype=tf.float32, name="v") for variables in tf.global_variables(): print(variables.name) ema = tf.train.ExponentialMovingAverage(0.99) maintain_... 阅读全文

摘要：import tensorflow as tf v1 = tf.Variable(tf.random_normal([1], stddev=1, seed=1)) v2 = tf.Variable(tf.random_normal([1], stddev=1, seed=1)) result = v1 + v2 init_op = tf.global_variables_initialize... 阅读全文

摘要：import tensorflow as tf with tf.variable_scope("foo"): v = tf.get_variable("v", [1], initializer=tf.constant_initializer(1.0)) #with tf.variable_scope("foo"): # v = t... 阅读全文

摘要：from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("E:\\datasets\\MNIST_data\\", one_hot=True) print("Training data size: ", mnist.train.num_examples) pri... 阅读全文

摘要：import tensorflow as tf v1 = tf.Variable(0, dtype=tf.float32) step = tf.Variable(0, trainable=False) ema = tf.train.ExponentialMovingAverage(0.99, step) maintain_averages_op = ema.apply([v1]) with... 阅读全文

摘要：import tensorflow as tf import matplotlib.pyplot as plt import numpy as np data = [] label = [] np.random.seed(0) # 以原点为圆心，半径为1的圆把散点划分成红蓝两部分，并加入随机噪音。 for i in range(150): x1 = np.random.uniform... 阅读全文

摘要：import tensorflow as tf TRAINING_STEPS = 10 LEARNING_RATE = 1 x = tf.Variable(tf.constant(5, dtype=tf.float32), name="x") y = tf.square(x) train_op = tf.train.GradientDescentOptimizer(LEARNING_RATE)... 阅读全文

摘要：import tensorflow as tf from numpy.random import RandomState batch_size = 8 x = tf.placeholder(tf.float32, shape=(None, 2), name="x-input") y_ = tf.placeholder(tf.float32, shape=(None, 1), name='y-i... 阅读全文

摘要：import tensorflow as tf from numpy.random import RandomState batch_size = 8 w1= tf.Variable(tf.random_normal([2, 3], stddev=1, seed=1)) w2= tf.Variable(tf.random_normal([3, 1], stddev=1, seed=1)) x ... 阅读全文

摘要：import tensorflow as tf w1= tf.Variable(tf.random_normal([2, 3], stddev=1, seed=1)) w2= tf.Variable(tf.random_normal([3, 1], stddev=1, seed=1)) x = tf.constant([[0.7, 0.9]]) a = tf.matmul(x, w1) ... 阅读全文

摘要：import tensorflow as tf g1 = tf.Graph() with g1.as_default(): v = tf.get_variable("v", [1], initializer = tf.zeros_initializer()) # 设置初始值为0 g2 = tf.Graph() with g2.as_default(): v = tf.get_... 阅读全文

摘要：import os import sys import numpy as np import tensorflow as tf import matplotlib import matplotlib.pyplot as plt import keras import utils import model as modellib import visualize from model impor... 阅读全文

摘要：import os import sys import random import math import re import time import numpy as np import tensorflow as tf import matplotlib import matplotlib.pyplot as plt import matplotlib.patches as patches ... 阅读全文

摘要：import os import sys import random import math import re import time import numpy as np import cv2 import matplotlib import matplotlib.pyplot as plt from config import Config import utils import mod... 阅读全文

摘要：import os import sys import itertools import math import logging import json import re import random from collections import OrderedDict import numpy as np import matplotlib import matplotlib.pyplot ... 阅读全文

摘要：import os import sys import random import math import numpy as np import skimage.io import matplotlib import matplotlib.pyplot as plt import coco import utils import model as modellib import visuali... 阅读全文

摘要：import os import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' batch_size = 128 # batch容量 display_step = 1 # 展示间隔 learnin... 阅读全文

摘要：import os import numpy as np import tensorflow as tf import matplotlib.pyplot as plt from tensorflow.examples.tutorials.mnist import input_data os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' batch_siz... 阅读全文

摘要：import os import numpy as np import tensorflow as tf import matplotlib.pyplot as plt from tensorflow.examples.tutorials.mnist import input_data os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' learning_r... 阅读全文