fujimotomh

To anyone interested, [this fork](https://github.com/fujimotomh/char-rnn-tensorflow) has validation and test splitting implemented like Justin Johnson's [torch-rnn](https://github.com/jcjohnson/torch-rnn/blob/master/doc/flags.md#preprocessing) as well as some other things like dropout, state as tuple, and sampling with temperature....

Hi Alexander. I changed some of the layout of the code from the original author. I separated the preprocess step from training. The files are created in preprocess.py. On Oct...

I think this line is undesirable: ``` Python self.probs = tf.nn.softmax(tf.div(self.logits, temperature)) ``` This overwrites self.probs which looked to be used later (when using the network as a language model)...

I think your seq length is very high. 1200 is quite long. Tensorflow has this issue with the way it creates these kinds of graphs using seq2seq [see this issue](https://github.com/tensorflow/tensorflow/issues/511)....

@ckcz123 You almost have it. `dynamic_rnn` takes the input as a tensor and not a list. This works on my laptop with a seq_length of 1200. ``` Python outputs, last_state...