Current Behavior:

The the wiki page APIExample, for the python example, the handle api is is run through the TessBaseAPIDelete funciton if the api failed to be initialized whereas for the C example below, this is not the case.

python:

rc = tesseract.TessBaseAPIInit3(api, TESSDATA_PREFIX, lang)
if (rc):
    te

It seems that the doc website is using a router in hash mode. For example, URL of the index of the reference section is https://learn.ml5js.org/docs/#/reference/index. There is a hash tag "#" in the URL.

This may make it a little obfuscating for people who want to memorize the link and share it with others.

I recommend changing the router from hash mode to history mode to remove the ugly has

I construct it using BoolVal : []bool{fasle}, with shape dim size = 1, but it has errors like behind:

The second input must be a scalar, but it has shape [1]

I don't know how to solve it.

Hi,

First thanks for releasing this, it has been quite helpful.
Would be great if the README page mentioned in software requirements the dependency on pytorch-qrnn (for QRNN-based models). Currently, following the instructions and running one of the standard QRNN models will just throw a ModuleNotFoundError with no instructions. Would be great if there was a prior mention and/or a try/catch w

http://pytorch.org/tutorials/beginner/deep_learning_nlp_tutorial.html
has 5 nice noteboks all in python3

The one in github is python2 and not in sync

This may create difficulty for many as it did for me
You may have 1 version - perhaps the 5 working ones

I looked up the documentation for sequence_loss_by_example and it doesn't seem to be taking vocab_size as argument. I'd really appreciate it if you could help me understand what this argument is doing. Thanks a lot!
` loss = seq2seq.sequence_loss_by_example([self.logits],
[tf.reshape(self.targets, [-1])],
[tf.ones([args.batch_size * args.seq_length])],

Tried following the quickstart guide to run the application quickly but running into many software dependency issues. Have you considered dockerizing this application?

I have a background in this area, would be interested in contributing to the project to add that capability if you are open to incorporating this as a feature.

Let me know.