How to pronounce “convolution” in English

Here is one of the foundational technologies behind it.A representation of a convolutional neural net.What should we think about here?

In particular, we have the spectrogram up here, we have about 40 features here that are learned features as being distinct in the database.Basically looking at convolutions, see where those features are in the spectrogram.From those we try to look for repeating time series, and that's these patterns here.

It's not only much bigger.It has way more convolutions than ours.It's doing something with all of those neurons and all of those networked connections.

It's like what nature did is just discover these neural processes that allow us to build models of the world and then just repackage themSo if you look at convolutional layers and linear layers, we can actually improve efficiency by over 100 times-- two orders of magnitude.

The human brain looks different.It's got lots of convolutions in the forebrain.That's where a lot of thinking happens in humans-- human thinking.

They're working with a drug company to bring that to the human market.It's got all these convolutions and ridges to increase its surface area.

And so a lot of the things that we do in our brain is like-- and that's what's kind of exciting about what'shappening with the AI revolution happening now with these convolutional neural networks.Oh, the brain, like as it builds up, you build these models.

It's reasonably quiescent. But if you're overfeed a black hole, then things can happen.But we also ran a trained CNN, Convolutional Neural Network, trained on expert classifications.

than would be expected.And it's because of this fractal-like structure that enables you then to pack in and have all of these folds and convolutions and on top of each otherto pack in an enormous amount of membrane surfaces.

of development of vocal use in dolphins.We're finally in the stage where we have GPUs in this thing so that we can do convolutional filters and start picking up stuff at any frequency they do it at.

They're working with a drug company to bring that to the human market.It's still thin. But it has so many convolutions and ridges, it actually comprises 80% of the brain.

They're working with a drug company to bring that to the human market.So if you take a primate, it also has one with convolutions and ridges, but the innovation in homo sapiens is we have

We also see fully-- Oh, sorry about that.And now we use, in parallel, the same inputs, feed them through a convolutional neural network.

And he's published a big catalog.images. So, "we mimic human perception with deep learning using convolutional neural networks trained to reproduce the CANDELS visual morphological