Row 65108
Content Data
This page contains data entry 65108 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I wrote my masters thesis on the subject and my overall conclusion was that backprop doesn’t happen in the brain because neurons don’t have a direct backwards connection. I also found it unfeasible to approximate the updates that were being propagated in backprop: they are non linear and depend on the values upstream (which the brain wouldn’t have access to since neurons only communicate one way). Having said that, I didn’t dedicate a PhD to this and my research was very limited in scope (it was a learning exercise about deep neural networks).
| Field | Value |
|---|---|
| text | I wrote my masters thesis on the subject and my overall conclusion was that backprop doesn’t happen in the brain because neurons don’t have a direct backwards connection. I also found it unfeasible to approximate the updates that were being propagated in backprop: they are non linear and depend on the values upstream (which the brain wouldn’t have access to since neurons only communicate one way). Having said that, I didn’t dedicate a PhD to this and my research was very limited in scope (it wa… |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-23 |
| username_encoded | Z0FBQUFBQm5Lak1iTVZUR1JJWjREWUxzN3dhN1MzY19wZ2dnMURWUnNqWkhIRXBZVVBIN0N3WFhsQ2RPOExWTmc4OW5DQzhhX3BrU2FDY1NUQ19uQVdLVWFBY2U3VnZZbkE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9zUE9LTGhvUTlBRGR4UjRRaWxHMFFsOHNqeGtEOGUwZXhhZlctYlNnWHBONEN6aGRsazZtLUNCS193VGpOcU1MRkYxNS1Xd2prdjhPU2lDTU9Va0lxRFdSX1I0cW1pOE8tRG5Sa3J4a2tsZ196WUVfV1RTclpwd1k5b0F6Um1QR3N0Y3ZjSkZkdU1JdDNQNVJIVlBhd2FjZFpMRXZiZHEwdVdJLTJZbHU0UmE5VGRDZ082Q1FEYnBKMWw0ZkdOa1o2NjBwRjNqMC1jSE9oZWxwenBFcGFsdz09 |
Raw Record
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"text": "I wrote my masters thesis on the subject and my overall conclusion was that backprop doesn’t happen in the brain because neurons don’t have a direct backwards connection. I also found it unfeasible to approximate the updates that were being propagated in backprop: they are non linear and depend on the values upstream (which the brain wouldn’t have access to since neurons only communicate one way). \nHaving said that, I didn’t dedicate a PhD to this and my research was very limited in scope (it was a learning exercise about deep neural networks).",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-23",
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}
Entry Information
- Entry ID: 65108
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000