can I use your approach on deep conv ae ?

[iperov]

I investigated your tf code.

so all what I need for UAE is

1. transform latent space code

mean = self.encoder(x, reuse=reuse)
eps = tf.random_normal(tf.shape(mean), 0, 1, dtype=tf.float32)
z = tf.add(mean, tf.multiply(std, eps))
= self.decoder(z, reuse=reuse)

2. remove all bias from decoder layers?

if I use your approach on deep conv ae, will I get better accuracy?
Should I remove biases from all conv and dense layers after latent space ?

[iperov]

ah sorry found convuae.py