tf20blog3a.py

def sigmoid(z):
    # Create a placeholder for x. Name it 'x'.
    x = tf.placeholder(tf.float32, name = "x")
    # compute sigmoid(x)
    sigmoid = tf.sigmoid(x)
    # Create a session, and run it. Please use the method 2 explained above. 
    # You should use a feed_dict to pass z's value to x. 
    with tf.Session() as sess: 
        # Run session and call the output "result"
        result = sess.run(sigmoid, feed_dict = {x: z})
    return result