Prof. Yoshua Bengio - Deep learning & Backprop in the Brain

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Yoshua Bengio is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. Bengio received his Bachelor of Science, Master of Engineering and PhD from McGill University.

Recorded: September 8, 2017
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Holy fucking shit! The statement at 18:15 : _"we are just saying what we mean by reasoning here is that the network will sequentially combine pieces of information and through learning it figures out what is the right way of combining these pieces of information"._

That statement blow my fucking mind throw the sealing and out in orbit around the Earth...

jomen
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Have there been any experiments done using neural networks to design neural networks? Kind of like a genetic algorithm where a neural network trains itself by designing and automatically testing other neural network designs, or even variants of its own design.

Anders
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Cpu transmits data faster than light, connected wires resonates 2 levers at frequency, nano tubes pop a ball in a ball pops out instantly. Levers are arranged as circular and spherical connected with cable in tube.

PhillipBiondo
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Neural networks work and can be used with required standards. how standards are standardized to conform to machine learning standards.

pardoharsimanjuntak
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Detonate explosives in a large piston in cylinder, hook up to piston which raises a mass which is lowered to generate energy.

PhillipBiondo
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Air pressurized until its oxygen explodes.

PhillipBiondo
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Give it control of a video game character.

PhillipBiondo
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Dna data parallel wires transmit dual binary signal.

PhillipBiondo
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I realize that I have to read too much!

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The first thing a baby learns talking, make it talk.

PhillipBiondo
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What the hell, this is backprop with a few extra steps. Fire rate theory sounds made up.

haluk
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Gas powered robotic drone, can read and write, ask it a question.

PhillipBiondo
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Separate hydrogen from oxygen and internally combust in dual diesel hemi combustion chambers.

PhillipBiondo
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