I tried some RNN regression learning based on the code in the "PyTorch-Tutorial/tutorial-contents/403_RNN_regressor.py" file, which did not work for me at all.

According to an accepted answer on stack-overflow (https://stackoverflow.com/questions/52857213/recurrent-network-rnn-wont-learn-a-very-simple-function-plots-shown-in-the-q?noredirect=1#comment92916825_52857213), it turns out that the li

I'm using latest pyod version on pypi. How to generate simulated data where x-axis is time? Thank you.

首先感谢楼主的分享，对于basic_seq2seq中的代码，运行时产生如下错误，我的tensorflow是最新的1.3.0 gpu版本，执行时所有代码均未改动，想楼主帮看看
Traceback (most recent call last):
File "D:\Workspaces\Eclipse\PythonLearn1\src\seq2seq_init_.py", line 227, in
num_layers)
File "D:\Workspaces\Eclipse\PythonLearn1\src\seq2seq_init_.py", line 189, in seq2seq_model
decoder_input)
File "D:\Workspaces\Eclipse\PythonLearn1\sr

I am not clear about what the iteration means. Could you explain more about it? Also, how is it related to epoch?

Thanks.

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.

nowadays, docs with rarely interpretation is difficult to understand the algorithm,
Such as bayes rule sets and other Underdogs have little references.
If can provide a common introduce in interface level may be good for programmers
who have little information of algorithm to start