You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
I think the notion that there's a "deep learning framework war raging" is pretty mistaken. It's not like there are different clans that don't talk to each other. The majority of people use multiple tools, often within the same project.
And what they use now may not be what they use in 6 months. This is especially true in research, where each project starts from scratch and lasts 2-3 months. For production applications, there is more of a need to settle on one framework and accrete capabilities over time.
So don't believe the FUD. It's typically just a marketing ploy to drive a message. Conflict sells I suppose.
Everyone likes tensorboard for example
The reality of multiple DL frameworks will positively affect the world. We are open to use any open-source DL framework. Thus will result on concurency so AI will the first winner from this friendly war (point of view from a biginner student)
There is no doubt that competition and the availability of multiple options are good for the end user. And crucially, for users, it's not a either/or choice between the different options.
Your tone in this thread is quite contradictory to how you have spoken about *other * DL libraries in the past. I may be wrong but I honestly feel like you have played quite a role in creating the impression that there is a competition amongst the libraries.
I've been tracking Keras / TF adoption metrics for a long time. That's what you do when you create products: you track adoption. If you've been listening to me I've also been saying since forever that the existence of multiple options & cross-pollination are good for users.
What’s your take on the new Pytorch Framework ?
Competition and a bit of stress are important drivers.
Die üüä33ä übüüer4üää4ääüü6t unäöd5üää5ä ääältesäte4zuäüv5ää5 Bär an u9ä9ilääüäär ö für 54 Jahren und undüää5ä 4 Jahren in Jahre
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
