Row 65145

Row ID: 65145 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 65145 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Geoff largely believes brains learn by gradient descent, but believes the mechanism by which gradients are estimated is not backpropagation, but some other (unknown) mechanism.

This has become a popular opinion of those who study credit assignment in the brain.

He has proposed several candidates for this mechanism, including feedback alignment (FA) and forward-forward (FF).

Some other candidates proposed by others are equilibrium propagation, predictive coding, and target propagation.

FieldValue
text Geoff largely believes brains learn by gradient descent, but believes the mechanism by which gradients are estimated is not backpropagation, but some other (unknown) mechanism. This has become a popular opinion of those who study credit assignment in the brain. He has proposed several candidates for this mechanism, including feedback alignment (FA) and forward-forward (FF). Some other candidates proposed by others are equilibrium propagation, predictive coding, and target propagation.
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-23
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url_encoded Z0FBQUFBQm5Lak9zb3JPNVBab0Y3blJsV0tNcEVKYnBFLUN2V3U5cENaTlZiNHdIMm16YThueUhDNUJud2F5UEswMlhrOVc3M1UyM1RNWk1Kd1g1VnNhMXBjcG1JOWl3Q24tbG01V1p2V09pVFpIZEFNZV82b3VxUS1mMlZ4YkJVek8xQ3Btd0pLZlJ6TmppMk1YSlU4bld6enB6cldOcVhmZnR5RzFiZzl1YWU1YVFSMHM5NmxpanRsLXVQUXRXaFpxYkx1TXUySmNadS1MdWN2bVItYkEzTC1zd3k5M3ZyZz09

Raw Record

{
  "text": "Geoff largely believes brains learn by gradient descent, but believes the mechanism by which gradients are estimated is not backpropagation, but some other (unknown) mechanism. \n\nThis has become a popular opinion of those who study credit assignment in the brain. \n\nHe has proposed several candidates for this mechanism, including feedback alignment (FA) and forward-forward (FF).\n\nSome other candidates proposed by others are equilibrium propagation, predictive coding, and target propagation.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1iaExvbjNuNDJPOFROaUdOaDg3Umt5SDgzdW5ZT1VrYlZUeVRrdzdjYko4YWdpVXFwazNzYUFROFhBSGlzS2w1Nm1iekQ0Vmt4VEZSOHJRV0l3V05lZ2c9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9zb3JPNVBab0Y3blJsV0tNcEVKYnBFLUN2V3U5cENaTlZiNHdIMm16YThueUhDNUJud2F5UEswMlhrOVc3M1UyM1RNWk1Kd1g1VnNhMXBjcG1JOWl3Q24tbG01V1p2V09pVFpIZEFNZV82b3VxUS1mMlZ4YkJVek8xQ3Btd0pLZlJ6TmppMk1YSlU4bld6enB6cldOcVhmZnR5RzFiZzl1YWU1YVFSMHM5NmxpanRsLXVQUXRXaFpxYkx1TXUySmNadS1MdWN2bVItYkEzTC1zd3k5M3ZyZz09"
}

Entry Information