Transfer learning

[sanakhamekhem]

Hello Sir,

I would like to ask about the transfer learning task. If I would exlude the first con layer, so, the modified var is this:
train_vars = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope='Layer_Linear') + tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope='BLSTM[12]') + tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope='conv[12345]')

train_vars = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope='Layer_Linear') + tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope='BLSTM[12]') + tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope='conv[2345]')

or I would modify the transfered one???
Thank you in advance.

[josarajar]

Hello,

If you want to freeze the parameters from the first conv layer, the modification you have write is enough. The transferred one is to set what layers would you like to initialise.

Sorry for the delay.