Machine Learning, Agile, Markov Chains, Bayesian Statistics, TensorFlow.
unittest.main(argv=[''], verbosity=0, exit=False); ---------------------------------------------------------------------- Ran 1 test in 0.088s OK We will use the same data as we used earlier data=np.array([14, 12, 7, 14, 13]) # Create state to hold updated `step_size`. step_size = tf.get_variable(