User Portlet
| Discussions |
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| Found the solution for HiddenLayers ! lol I had a typo and there were 3 d's . HidddenLayers. lol That parameter seems settable now. :) |
| I already did that. It's not accurate enough. I split tested all the Wolfram algorithms in Classify and Predict. The only thing good enough is a Neural Network which took like 30 hours to train. In the Notebook the performance is acceptable. In the... |
| Are you highering in-house only or do you ever outsource prototyping or research? |
| I second that. Almost all the major social networks along with API platforms are supporting oAuth. I hate tokens and refresh tokens and all of that stuff. It makes it too error prone to custom code every connection. |
| Thanks for taking the time to reply. It means a lot. :) The more I understand about the specifics of most ML, the more I realize why so many think it's been around for 50 years with no real advancements in their minds. I have actually talked to a... |
| Wolfram Support send me a satisfactory solution. Basically, you can use Google Maps to deal with ambiguity of inputs and still find a good address. Keep in mind you can not put functions inside your CloudDeploy for Grammar functions. ... |
| Any updates? I am still stumped. |
| I would be willing to pay someone to build a WL interpreter that I could use with my AIML files. Any takers? |
| I think I figured it out. Normal is not always Normal and neither is Values. Solution for pulling out the data and getting it ready for Classification: binValues = Apply[Reverse, Reverse[#]] & /@ Normal[Normal[bin]] {"Exactly why are... |