Machine Learning, Agile, Markov Chains, Bayesian Statistics, TensorFlow.
= tf.global_variables_initializer() with tf.Session() as sess: init_op.run() samples_, kernel_results_ = sess.run([samples, kernel_results]) all_samples = np.array(samples_) all_samples.shape (3, 100000) Our results has three rows for x, μ and σ respectively. We can take mean of these three