Tens_Basic.py

#!/usr/bin/env python
# coding: utf-8

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import tensorflow as tf


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tf.VERSION


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print(tf.__version__)


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hello=tf.constant("Hello ")


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world=tf.constant("World")


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type(hello)


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print(hello)


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with tf.Session() as sess0:
    result= sess0.run(hello + world)


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print(result)


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a = tf.constant(10)
b = tf.constant(20)


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a+b


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a+b


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a-b


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with tf.Session() as sess:
    Res= sess.run(a+b)


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Res


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print(Res)


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const=tf.constant(10)


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fill_mat = tf.fill((3,3),11)  #3 by 3 fill with 11
fill_mat


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myzeros = tf.zeros((3,3))


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myones = tf.ones((3,3))


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myrandn = tf.random_normal((3,3), mean=0, stddev=1.0)


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myrandu = tf.random_uniform((3,3),minval=0, maxval=1)


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my_ops = [const,fill_mat,myzeros,myones,myrandn,myrandu] #list of all operations


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with tf.Session() as sess: #One way OR ...interactive session for Jupyter Notebook just...
    for op in my_ops:
     R1= sess.run(op)  #OR op.eva()
     print (R1)
     print('\n')


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print(R1)


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sess02 = tf.InteractiveSession() #interactive session for Jupyter Notebook jus


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for op in my_ops:
    print(sess02.run(op))
    print('\n')


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a =tf.constant([[1,2],   #Matrixes..., Multiply,...
               [3,4]])


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a.get_shape()


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b = tf.constant([[10],[100]])


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b.get_shape()


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c= tf.matmul(a,b)
sess02.run(c)  #Because of defining Interactive session! with no with


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c.eval()


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