Hi. During the live stream you did, you forgot to show the visualization of the model. I've trained trained the the lstm (I don't know what I was thinking when I decided to do it in a Ubuntu VM created in my desktop machine ㅜ.ㅜ). However, when I run the command: $ tensorboard --logdir='\tmp\tflearn_logs' , tensorflow prints out many times the message:

WARNING:tensorflow:Found more than one graph event per run, or there was a metagraph containing a graph_def, as well as one or more graph events. Overwriting the graph with the newest event.

Then nothing happens. I also tried accessing the IP that tensorflow suggests (http://192.168.127.1:6006) but I just get nothing. Help?

Hi Siraj, I'm work with caffe and c++ and i`ll trying to change to tensorflow and python, I'm following this tutorial your and i've this problem when i'm running the code:

`Vectorizing text...
Text total length: 207041
Distinct chars: 61

Total sequences: 69007

Run id: us cities
Log directory: /tmp/tflearn_logs/
Traceback (most recent call last):
File "lstm_by_tutorial.py", line 39, in
n_epoch=1, run_id='us cities')
File "/usr/local/lib/python2.7/dist-packages/tflearn/models/generator.py", line 174, in fit
run_id=run_id)
File "/usr/local/lib/python2.7/dist-packages/tflearn/helpers/trainer.py", line 247, in fit
max_batches_len = np.max([t.n_batches for t in self.train_ops])
File "/usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py", line 2293, in amax
out=out, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/numpy/core/_methods.py", line 26, in _amax
return umr_maximum(a, axis, None, out, keepdims)
ValueError: zero-size array to reduction operation maximum which has no identity
`

I don't know if is a python bug or some dependencies is lost, i realy apreciate if you can have any idea.

Thanks and keep going with you really good job.

and the repo still doesn't run... Nice.