不负代码，不负卿

import tensorflow as tf graph = tf.Graph() with graph.as_default(): with tf.name_scope("variables"): global_step = tf.Variable(0,dtype=tf.int32,trainable=False,name="global_step")

python代码： import tensorflow as tf a = tf.constant(5,name="input_a") b = tf.constant(3,name="input_b") c = tf.multiply(a,b,name="mul_c") d = tf.add(a,b,name="add_d") e = tf.add(c,d,name="add_e") ses

训练模型和保存模型代码 import tensorflow as tf import numpy as np x_data = np.random.rand(100) y_data = x_data*2+1 x = tf.placeholder(tf.float32) y = tf.placeholder(tf.float32) w = tf.Variable(0.0) b = tf....