| Copying my comment from a previous post: From the first example: > return -tf.reduce_mean((T("input") - 0.5)2)* Don't you want to use the average instead of "0.5"? From the explanation: > The code is a function that takes in an input tensor and returns the mean squared error of the input. It's hard to believe that the system can detect that it's the "mean squared error". Is this an explanation a real example from the implementation, or it's just a handmade example? Note: Wait more time to repost. Users usually get angry and start to flag our post is you repost too often. Also, as mimixco said in https://news.ycombinator.com/item?id=28131271 > The live example on the home page doesn't seem to work. I assumed JS was supported and typed this: > const addOne = function(someNumber) { return someNumber + 1 } > The "explain" box shows nothing. > This site makes bold claims which, so far, I don't see backed up by anything. Even the "join waitlist" dialog is broken! > Next... I tried and got the same outcome. |
Hm, I've tried it just now and got this: https://i.imgur.com/01MIEWD.png
> Note: Wait more time to repost.
Thanks, I'll remember that.
I saw the previous post gaining no traction, and personally had fun testing the service with C / Audio code before, so I wanted it to stay afloat a bit longer, at least.
> It's hard to believe that the system can detect that it's the "mean squared error".
I won't be surprised ML model detected it, statistics-wise, associating "Tensorflow" and "mean" with "mean squared error". Happened when I fed it CLIP-related code.
> Don't you want to use the average instead of "0.5"?
It was tested on the real-life code, looks like a Colab I have previously recommended.
https://colab.research.google.com/drive/1WWo2L7ZMdslbZyOg-pq...