convolutional Neural Networks

Origin: The human visual cortex of the Meow

In the 1958, a group of wonderful neuroscientists inserted electrodes into the cat's brain to observe the activity of the visual cortex. and infer that the biological vision system starts from a small part of the object,

After layers of abstraction, it is finally put together into a processing center to reduce the suspicious nature of object judgment. This approach runs counter to BP's network.

The BP network thinks that every neuron in the brain has to perceive all the objects (full-pixel full connection), and it's just a simple mapping, and there's no abstract processing of objects.

Who is right and who is wrong? convolutional Neural Networks (convolution neural network) are the first to prove the unscientific nature of BP networks.

CNN originated from machine learning Master LeCun in the late 80 to make a cheque for the digital recognition neural network. In front of the BP network, he experimented with multi-tiered convolution, down-sampling, and some of the network-connected ideas,

Results The training effect was surprisingly good. LeCun's mentor is Hinton, the first computer scientist and neuroscientist to propose deep learning concepts in 2006.

LeCun himself is a half-neuro-scientist. The two men and apprentice together propped up the deep learning of the blue sky.

convolutional Neural Networks