Timeline for How each layer of a neural net is responsible for one feature
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Jul 8, 2018 at 12:50 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jun 8, 2018 at 12:38 | history | edited | Green Falcon | CC BY-SA 4.0 |
added 2 characters in body; edited tags
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| Jun 8, 2018 at 12:37 | answer | added | Green Falcon | timeline score: 2 | |
| Jun 7, 2018 at 21:16 | comment | added | Emre | In classification, the goal is to have each neuron at the output layer do that. Interpreting the intermediate layers and neurons is more complicated; see The Building Blocks of Interpretability. Welcome to the site! | |
| Jun 7, 2018 at 20:47 | answer | added | Skiddles | timeline score: 1 | |
| Jun 6, 2018 at 0:49 | comment | added | Aditya | why did you decide that there is some human interpretation of features after each layer? | |
| Jun 5, 2018 at 19:38 | answer | added | pythinker | timeline score: 1 | |
| Jun 5, 2018 at 18:35 | comment | added | Aditya | The layers aren't doing that, every neuron is doing the same | |
| Jun 5, 2018 at 17:37 | review | First posts | |||
| Jun 6, 2018 at 1:20 | |||||
| Jun 5, 2018 at 17:34 | history | asked | Mohammad Nur | CC BY-SA 4.0 |