We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hey George,
I study your code for a while, but there is no RNN in the model definition.
In the tensorflow, we always use:
cell = rnn_cell.BasicLSTMCell() output, state = tf.nn.rnn()
to define a LSTM cell. But in your code, there is only two fully_connected layer in the rnn scope. Could you pls give me an instruction on that?
fully_connected
rnn
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Hey George,
I study your code for a while, but there is no RNN in the model definition.
In the tensorflow, we always use:
to define a LSTM cell.
But in your code, there is only two
fully_connected
layer in thernn
scope.Could you pls give me an instruction on that?
The text was updated successfully, but these errors were encountered: