In [20]:

    

import numpy as np
import matplotlib.pylab as plt

x = np.arange(0,  10,  0.1)
y = np.sin(x)
p = plt.plot(x,y)
plt.show()


    

In [23]:

    

import tensorflow as tf
a = tf.placeholder( tf.int32, [3])
b = tf.constant(2)
x2_op = a * b
session = tf.Session()
r1 = session.run(x2_op , feed_dict={ a:[1,2,3]} )
print(r1)

r2 = session.run(x2_op, feed_dict={a:[10,20,10]} )
print(r2)


    

    




[2 4 6]
[20 40 20]

In [35]:

    

import tensorflow as tf

a = tf.constant(100, name='a')
b = tf.constant(200, name='b')
c = tf.constant(300, name='c')
v = tf.Variable(0, name='v')

calc_op = a + b* c
assign_op = tf.assign(v, calc_op)

sess = tf.Session()
tw = tf.summary.FileWriter("log_dir", graph=sess.graph)
sess.run(assign_op)
o=sess.run(v)
print(o)


    

    




60100

In [ ]: