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Tensorflow implementation of conditional variational auto-encoder for MNIST

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can i use this code for de-noising purpose? please let me know

`# ELBO marginal_likelihood = tf.reduce_sum(x * tf.log(x_) + (1 - x) * tf.log(1 - x_), 1) KL_divergence = 0.5 * tf.reduce_sum(tf.square(mu) + tf.square(sigma) - tf.log(1e-8 + tf.square(sigma)) - 1, 1)...