Timeline for Can a neural network compute $y = x^2$?
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| S Jul 13 at 3:09 | history | suggested | Mohammad Talaei | CC BY-SA 4.0 |
adding a visual proof that neural nets can compute any function
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| Jul 6 at 10:13 | review | Suggested edits | |||
| S Jul 13 at 3:09 | |||||
| S Jun 3, 2019 at 18:38 | history | edited | Sean Owen | CC BY-SA 4.0 |
latex formatting
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| S Jun 3, 2019 at 18:38 | history | suggested | Ethan | CC BY-SA 4.0 |
latex formatting
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| Jun 3, 2019 at 15:21 | review | Suggested edits | |||
| S Jun 3, 2019 at 18:38 | |||||
| Mar 22, 2019 at 15:21 | comment | added | Jeffrey | Although true, it a very bad idea to learn that. I fail to see where any generalization power would arise from. NN shine when there's something to generalize. Like CNN for vision that capture patterns, or RNN that can capture trends. | |
| Mar 22, 2019 at 13:23 | comment | added | Boris Burkov | Thank you very much, this is exactly what I was asking for! | |
| Mar 22, 2019 at 13:23 | vote | accept | Boris Burkov | ||
| Mar 22, 2019 at 13:20 | history | answered | Shubham Panchal | CC BY-SA 4.0 |