char-rnn-tensorflow | layer Recurrent Neural Networks | Machine Learning library
kandi X-RAY | char-rnn-tensorflow Summary
kandi X-RAY | char-rnn-tensorflow Summary
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Top functions reviewed by kandi - BETA
- Train the model
- Returns the next batch
- Resets the batch pointer
- Sample from given parameters
- Sample from the cell
char-rnn-tensorflow Key Features
char-rnn-tensorflow Examples and Code Snippets
Lines of Code : 60License : Permissive (MIT)
CopyFirst Lord:
Or Ray Cluicians? you appeace, advain.
Shepherd:
Then? Who do valiantage, the trail swoed's Englong
Offords in you, why this paliancac's.
KING RICHARD III:
O, and his in plawful your joyters.
First MuntaSTsa:
All
If I sir? I'll none ma 사랑 하는 것 위해서
난 눈물이 나면 슬픔을 흔들어
한 번쯤 다시 생각해 기다리겠어
그대가 기억하는 나의 옛모습으로
그러나 어느새 그대는 나를 잊었고
내가 다가갈수록 그대는 멀어져 가네
이렇게 쉽게 헤어질 우리였다면
지난 긴 세월동안 그리워 이제는
어둠에 깨져버린 우리 사랑을
어떻게 살고 있는지
저 멀리 그대 음성
인사도 다른 어떤말도 못하고서
그대 먼저 끊기만 기다려요
어떤날은 잠에서 깨어난
졸리운 목소리로
지나간 
License : No LicenseCopy$ python char_rnn_test.py --start_text="The meaning of life is "
The meaning of life is service: and it
false ready to the liberal, in my meaning judgment
his resign unless sorrow from nothing:
All absent and you here to someware believe.
HENRY BOLI Community Discussions
Trending Discussions on char-rnn-tensorflow
QUESTION
Had various issues getting tensorflow onto my system and eventually did with v1.4.1. Trying to run this: https://github.com/sherjilozair/char-rnn-tensorflow
ANSWER
Answered 2018-Oct-11 at 14:38You are using an older Tensorflow version, which is probably not compatible with your current python version.
- check your computer configuration and install a matching Tensorflow version with the help of the following table: https://www.tensorflow.org/install/pip#package-location
- Install a python version that matches your Tensorflow version (also can be found in the link provided above)
- Check your python version: $ python3 --version
- Check your Tensorflow version:$ pip3 list | grep tensorflow
- If versions are matching as stated in the table above you'd probably get rid of the error
I've encountered a similar problem when I was trying to run the Tensorflow image retraining script: https://github.com/tensorflow/hub/raw/master/examples/image_retraining/retrain.py
In my case the problem was caused by Tensorflow 1.11.0 not being compatible with python 3.7.0.
Steps that solved the problem for me:
- Uninstall python 3.7.0.
- Install python 3.6.0.
- I run the script again, and now it run properly
Hope it will hellp :)
QUESTION
Inspired from Andrej Karpathy Char-RNN, There is a Tensorflow implementation of char-rnn sherjilozair/char-rnn-tensorflow: Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow. I want to implement bidirectional character level language model from this code. I change the model.py and wrote a simple code:
...ANSWER
Answered 2018-Mar-10 at 10:38Looks like you set self.lr = tf.Variable(0.0, trainable=False). Try changing this to a nonzero value. If you are reading probabilities from self.probs during the testing phase this should be normalized appropriately,
QUESTION
I'm having a trained rnn that I try to use on mobile. Problem is, when I use toco to convert my .pb file to .tflite it fails with the following error message:
ANSWER
Answered 2017-Nov-28 at 18:41It seems that unfortunately it's a limitation of the gather operator. I'll leave this here in case anybody else hits this problem in the future.
If anybody with greater experience with tensorflow, or from the team can confirm this, it would be great!.
QUESTION
I've been trying to look at RNN examples documentation and roll my very own simple RNN for sequence-to-sequence by using the tiny shakespeare corpus with outputs shifted by one character. I'm using sherjilozair's fantastic utils.py to load the data (https://github.com/sherjilozair/char-rnn-tensorflow/blob/master/utils.py) but my training run looks like this...
loading preprocessed files ('epoch ', 0, 'loss ', 930.27938270568848) ('epoch ', 1, 'loss ', 912.94828796386719) ('epoch ', 2, 'loss ', 902.99976110458374) ('epoch ', 3, 'loss ', 902.90720677375793) ('epoch ', 4, 'loss ', 902.87029957771301) ('epoch ', 5, 'loss ', 902.84992623329163) ('epoch ', 6, 'loss ', 902.83739829063416) ('epoch ', 7, 'loss ', 902.82908940315247) ('epoch ', 8, 'loss ', 902.82331037521362) ('epoch ', 9, 'loss ', 902.81916546821594) ('epoch ', 10, 'loss ', 902.81605243682861) ('epoch ', 11, 'loss ', 902.81366014480591)
I was expecting a much sharper dropoff, and even after 1000 epochs it's still around the same. I think there's something wrong with my code, but I can't see what. I've pasted the code below, if anyone could have a quick look over and see if anything stands out as odd I'd be very grateful, thank you.
...ANSWER
Answered 2017-Jul-26 at 22:41Your function lstm() is only one cell and not a sequence of cells. For a sequence you create a sequence of lstms and then pass the sequence as input. By concatenating the embedding inputs and pass through a single cell won't work, instead you use dynamic_rnn method for a sequence.
And also softmax is applied twice, in the logits as well as in cross_entropy which needs to fixed.
QUESTION
We are working with Tensorflow. We have a very large dataset of words, brands and so on. We are trying to generate suffixes for words. For instance, give 'real' may give 'realtor', 'really', 'realestate', ... In our dataset, each word is separated by \n.
We have tried several things so far, but it does not seem to produce adequate results. It seems to me that this is a fairly simple task that should be solved
The basic idea we are working on is adapting char-rnn-tensorflow. We have simply changed the sampling to sample (with weighted random probabilities) until a carriage return is sampled. We kept the original implementation, with rnn_decoder and sequence_loss_by_example and used rnn as model.
So far, we haven't obtained good samples, almost random ones and sometimes suffixes but without any relation to the beginning of our word (real -> realstation). It is possible that it comes from the fact that this implementation do not separate words, so we would need something more simple ?
What technologies would you use for such a task ?
...ANSWER
Answered 2017-Feb-14 at 07:23Finally, we have been able to obtain good results by carefully tuning the parameters of the network and applying temperature to the results to get some good suggestions. The sequence length was very important during training.
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Install char-rnn-tensorflow
You can use char-rnn-tensorflow like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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