How to have two networks together in TensorFlow?
Using with tf.variable_scope and with tf.name_scope for both networks solved the problem.
I have a network in TensorFlow which uses tf.nn.embedding_lookup because of that the input placeholder is self.input_x = tf.placeholder(tf.int32, [None, sequence_length], name="input_x"), I want to add an MLP network to this current network such that input of the MLP network is the input of the current network. For the MLP network, I need a float input type, but the type of current input placeholder is tf.int32. so when I run the code it shows the error. How can I solve this?