Basic Tensorflow example

 import tensorflow as tf
 
a = tf.constant(20)
b = tf.Variable(10)
 
result1 = tf.cond(a > b, lambda: a, lambda: b)
result2 = tf.cond(a < b, lambda: a, lambda: b)
 
# Initialize all the variables (including parameters) randomly.
init_op = tf.initialize_all_variables()
 
sess = tf.InteractiveSession()
# Run the init_op, evaluate the model outputs and print the results:
sess.run(init_op)
 
print(sess.run(a))
print(sess.run(b))
print("max value is: %d" % sess.run(result1))
print("min value is: %d" % sess.run(result2))

posted on 2017-11-21 11:20 yusisc 阅读(16) 评论(0) 编辑收藏举报

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Basic Tensorflow example

Basic Tensorflow example

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	import tensorflow as tf

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

	result1 = tf.cond(a > b, lambda: a, lambda: b)
	result2 = tf.cond(a < b, lambda: a, lambda: b)

	# Initialize all the variables (including parameters) randomly.
	init_op = tf.initialize_all_variables()

	sess = tf.InteractiveSession()
	# Run the init_op, evaluate the model outputs and print the results:
	sess.run(init_op)

	print(sess.run(a))
	print(sess.run(b))
	print("max value is: %d" % sess.run(result1))
	print("min value is: %d" % sess.run(result2))