v10 Chapter 2113： Qin Luos theory (1/2)

You know, this is a world-class problem that plagues countless countries, countless research institutes, and countless top scientists.

And now, Qin Luo actually wants to solve it!

This……

To be honest, everyone feels unable to speak at this point.

how to say?

They always find it kind of weird...

In short, they can hardly believe their ears...

One minute, two minutes, three minutes...

Qin Luo didn't rush to report, but stood patiently on the spot, waiting for everyone.

After several minutes, after everyone gradually calmed down, Qin Luo spoke slowly.

”Convolutional neural network is a type of feedforward neural network that includes convolution calculations and has a deep structure. It is one of the representative algorithms of deep learning. Convolutional neural networks have the ability to represent learning and can translate input information according to their hierarchical structure. Variable classification, so it is also called ”translation invariant artificial neural network...”

”The input layer of a convolutional neural network can handle multi-dimensional data. Commonly, the input layer of a one-dimensional convolutional neural network receives one-dimensional or two-dimensional arrays. The one-dimensional arrays are usually time or spectrum samples; the two-dimensional arrays may contain multiple Channels; the input layer of the two-dimensional convolutional neural network receives two-dimensional or three-dimensional arrays; the input layer of the three-dimensional convolutional neural network receives four-dimensional arrays...”

The corners of Qin Luo's mouth raised, with a faint smile on his face from beginning to end, whispering.

At first everyone didn't think there was anything. After all, almost everyone in the room knew something conceptual, but as the topic progressed, everyone gradually widened their eyes...

They knew conceptual things, but what Qin Luo said was not just a concept.

Many of the theories put forward in Qin Luo's words hadn't even heard of them.

For example, what one-dimensional and two-dimensional data are, for example, what multi-channel transmission is.

They didn't even know what Qin Luo was talking about.

But it was precisely this awkwardness that made them understand more that what Qin Luo said was true.

Who is Qin Luo?