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' # Create a tensor of shape [2, 3] consisting of random normal values, with mean # -1 and standard deviation 4. norm = tf.random_normal([2, 3], mean=-1, stddev=4) # Shuffle the first dimension of a tensor c = tf.constant([[1, 2], [3, 4], [5, 6]]) shuff = tf.random_shuffle(c) # Each time we run these ops, different results are generated sess = tf.Session() print(sess.run(norm)) print(sess.run(no..
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