How to pronounce“imageet”in English

imageet and you look at the training data on the image net and looking at the samples again you look there's a horse there's is like uh there's some animal

on imageet because a lot of that does not change too much.

the different classes of imageet.

suspicious on imageet.

learn by training on imageet turn out to be quite generic and you can apply them in different settings.

that were trained on imageet and then fine-tuned on all these different tasks and you basically can crush lots of different tasks whenever you get a new

set that predates imageet and um uh if you look at you know some of the

convolutional network that works extremely well on imageet but when you try to run it on some something else like birds data set or something that it

developed this web interface where I would show myself imageet images from the test set.

And when you pre-train this network on imageet, then it turns out that the features that you learn in the middle are actually transferable and you can

And so they did not only win the imageet challenge in 2015 but they won a whole bunch of challenges.

So things worked very well on imageet.

Here we are looking at the imageet ILSVRC um visual recognition challenge over the years and

Uh I think the results for imageet 2000 imageet challenge 2016 are actually due to come out today but I

interesting is that in the process of trying to develop better computer vision architectures and trying to basically optimize for performance on the imageet

The way I'll do this is I'll go over all the winners of the imageet challenges and I'll tell you about the architectures, how they came about, how

Well, it turns out that some of the images in a test set of imageet are actually mislabeled.

We had this amazing performance on imageet.

okay and uh in terms of uh distributed training so if you want to work at scale because uh if you want to train imageet or some large scale data sets you might