Data Science, Loss Function, Machine Learning, Neural Networks, TensorFlow.
tf.reduce_mean(1 + vae.logvar - tf.square(vae.mean) - tf.exp(vae.logvar)) return kl_loss def vae_rc_loss(y_true, y_pred): #rc_loss = tf.keras.losses.binary_crossentropy(y_true, y_pred) rc_loss = tf.keras.losses.MSE(y_true, y_pred) return rc_loss def vae_loss(y_true, y_pred): kl_loss =