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speech_emotion_recognition_aae's Issues

separate encoder output for code vectors

Hi,

I was going through main.py and I have a doubt regarding the 'network architecture section'.

`# network architecture

y, z, neg_marginal_likelihood, D_loss, G_loss = aae.adversarial_autoencoder(x_hat, x, x_id, z_sample, z_id, dim_features, dim_z, n_hidden, keep_prob)

z_train     = aae.encoder(x, n_hidden, dim_z)

z_test      = aae.encoder(x, n_hidden, dim_z)`

Why are you creating separate 'aae.encoder'? The code vectors are already given as output of 'aae.adversarial_autoencoder'.

Vandana Rajan

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