Deep Learning’s Impact on Image Processing, Mathematics, and Humanity

Re:Deep Learning’s Impact on Image Processing, Mathematics, ... by candiodari on Sunday May 07, 2017 @06:28AM (#14284768)

That may have something to do with the fact that even the biggest neural networks have a "cortex size" one or two orders of magnitude smaller than a cat and "exist" (number of impulses processed * amount of time that would take in an animal) for a few weeks.

That means one should expect them to perform tasks about as well as a mouse brain can do them, between a third and halfway to adulthood.

And yes, that level of cortical processing does not seem to support coming up with symbolic systems and attempting to use them to describe the world around them. Absolutely.

Mice don't do that either.

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Re:Deep Learning’s Impact on Image Processing, Mathematics, ... by sgt101 on Sunday May 07, 2017 @03:03PM (#14286965)

Am I out of date? I thought that current big deep networks had 100's of millions of parameters, where as mammalian brains were of the order of 10's of billions of neurons with perhaps 1000 times more connections so giving 10's of trillions of parameters (if you imagine a mammalian neuron to work like that).

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Re:Deep Learning’s Impact on Image Processing, Mathematics, ... by candiodari on Sunday May 07, 2017 @08:12PM (#14288424)

One parameter maps to one synapse, not to one neuron.

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