Tensorflow PlaceHolder

In [10]:

    

import tensorflow as tf

#Basic
w = tf.constant(2, tf.float16)
b = tf.constant(1., tf.float16)

x = tf.placeholder(tf.float16)

eq = tf.add(tf.multiply(w,x),b)

with tf.Session() as sess:
  print(sess.run(eq, feed_dict={x : 3.}))


    

    




7.0

In [18]:

    

#Matrix
W = tf.constant([[1., 2., 3.], [4., 5., 6.]], dtype = tf.float16, shape = [2, 3])
B = tf.constant([1., 2., 3.], dtype = tf.float16, shape = [1, 3])

X = tf.placeholder(dtype = tf.float16, shape = [1, 2])

eq = tf.add(tf.matmul(X, W), B)

with tf.Session() as sess:
  print(sess.run(eq, feed_dict={X : [[1., 2.]]}))


    

    




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