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Hello I'm trying to implement the "Tacotron Towards end to end" paper and in the
Encoder CBHG - a Conv1D bank of K=16, conv-k-128-ReLU
“conv-k-c-ReLU” - denotes 1-D convolution with width k and c output channels with ReLU activation.
And I wanted to ask how exactly I can implement it in Tensorflow 2.1? because in the documentation I haven't seen how to specify the output channels

Reference to the paper: https://arxiv.org/pdf/1703.10135.pdf

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  • $\begingroup$ Hi. Could you add a reference and maybe polish your text to make it more readable? Thanks. $\endgroup$
    – oW_
    Mar 17 '20 at 2:56
  • $\begingroup$ Hi @oW_ I added a reference $\endgroup$
    – user200544
    Mar 17 '20 at 6:12
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Refer to this: https://www.tensorflow.org/api_docs/python/tf/keras/layers/Conv1D

The parameter filter determines the output channel.

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