We're really excited to finally share this with you all! This is the first of a series of demos that we're working to release this week, and we're hoping you'll keep us to that promise :)
Sorry if it doesn't work on your computer! There's still a few glitches and browser compatibility problems that we need to iron out, and we're collecting some telemetry data with LogRocket (https://logrocket.com/) to help us do so (so you all know what kind of data is being collected).
We'll open source the library under an MIT license once we finish writing up the API docs, and fixing these bugs.
It's quite unreal. I remember when the paper and initial implementations came out less than 2 years ago, you had to go through this really long setup process that only worked on certain operating system and was a huge fuss. A few services came out online that would do it for you, but they were slow and limited, with huge queues.
Now, as you mention, you can run it in a few seconds on your phone, or in my case, on my Chromebook, right in the browser, with zero installation. Truly amazing.
I'm not sure if it's working with my browser or not. It says "Compiling network", then shows a lot of flashing rectangles, then stops and displays a single grey rectangle. Is that what it's supposed to do?
Yes, you are correct! Training benefits much more from available memory through batching and, since in many cases you only need to train once, it usually makes sense to train on beefy GPUs.
TensorFire is useful in situations where you want to perform inference, but you don't want to ship user-supplied data to your servers, either because you would run out of bandwidth, you would run out of compute power, or your users want to keep their data private.
This is great! Keep up the good work!
A link to your github repo would be great.
I don't know if it was intentional but I did find your library on npm: https://www.npmjs.com/package/tensorfire
Very nice work, folks. Impressive, and very well-put-together demo. That's the easiest neural style transfer demo I've ever used - and the most fun. (Other than a minute of worrying that my poor 2013 MBP was about to melt down, but that's not your fault. :-)
We're really excited to finally share this with you all! This is the first of a series of demos that we're working to release this week, and we're hoping you'll keep us to that promise :)
Sorry if it doesn't work on your computer! There's still a few glitches and browser compatibility problems that we need to iron out, and we're collecting some telemetry data with LogRocket (https://logrocket.com/) to help us do so (so you all know what kind of data is being collected).
We'll open source the library under an MIT license once we finish writing up the API docs, and fixing these bugs.