User contributions for David
30 January 2023
- 15:2815:28, 30 January 2023 diff hist +27 Rust (programming language) →Borrowing current
28 January 2023
- 21:5221:52, 28 January 2023 diff hist −19 Private:Data Hoarding →Operating Systems Tags: Mobile edit Mobile web edit
- 21:5121:51, 28 January 2023 diff hist −101 Private:Data Hoarding →Encryption Tags: Mobile edit Mobile web edit
- 21:4421:44, 28 January 2023 diff hist −57 Private:Data Hoarding →Encryption
- 21:4321:43, 28 January 2023 diff hist −48 Private:Data Hoarding →Operating Systems
- 21:4021:40, 28 January 2023 diff hist −5 Private:Data Hoarding →More Resources
- 21:4021:40, 28 January 2023 diff hist −6 Private:Data Hoarding →Closed-source/Windows Apps
- 21:4021:40, 28 January 2023 diff hist −43 Private:Data Hoarding →Front-end Applications
- 21:3921:39, 28 January 2023 diff hist +12 Private:Data Hoarding →Front-ends
- 21:3921:39, 28 January 2023 diff hist +21 Private:Data Hoarding →Union File Systems
- 21:3821:38, 28 January 2023 diff hist +24 Private:Data Hoarding →Union File Systems
- 21:3721:37, 28 January 2023 diff hist +9 Private:Data Hoarding →Parity
- 21:3221:32, 28 January 2023 diff hist +9 Private:Data Hoarding →Parity
- 21:3221:32, 28 January 2023 diff hist −18 Private:Data Hoarding →Parity
- 21:3121:31, 28 January 2023 diff hist +129 Private:Data Hoarding →Parity
- 21:2921:29, 28 January 2023 diff hist +562 Private:Data Hoarding →Parity
- 21:1521:15, 28 January 2023 diff hist +368 Private:Data Hoarding →Parity
- 21:0221:02, 28 January 2023 diff hist −92 Private:Data Hoarding No edit summary
- 05:2605:26, 28 January 2023 diff hist +141 C++ →g++
27 January 2023
- 16:5216:52, 27 January 2023 diff hist +39 FFmpeg →Pipe to stdout
- 16:5116:51, 27 January 2023 diff hist +585 FFmpeg →MP4 to GIF
26 January 2023
- 18:4618:46, 26 January 2023 diff hist +58 Machine Learning Glossary →F
- 18:4518:45, 26 January 2023 diff hist +134 Machine Learning Glossary →I
- 18:4418:44, 26 January 2023 diff hist +147 Machine Learning Glossary →F
- 18:4118:41, 26 January 2023 diff hist +136 Machine Learning Glossary →S
- 18:3918:39, 26 January 2023 diff hist +120 Machine Learning Glossary →P
- 18:3718:37, 26 January 2023 diff hist +154 Machine Learning Glossary →P
- 17:2617:26, 26 January 2023 diff hist +115 Machine Learning Glossary →D
- 17:2417:24, 26 January 2023 diff hist +110 Machine Learning Glossary →G
- 17:2317:23, 26 January 2023 diff hist +54 Machine Learning Glossary →L
- 17:2217:22, 26 January 2023 diff hist +77 Machine Learning Glossary →G
- 17:2117:21, 26 January 2023 diff hist +92 Machine Learning Glossary →S
- 17:2017:20, 26 January 2023 diff hist +85 Machine Learning Glossary →C
- 17:1917:19, 26 January 2023 diff hist +144 Machine Learning Glossary →A
- 17:1517:15, 26 January 2023 diff hist +184 Machine Learning Glossary →S
- 17:1417:14, 26 January 2023 diff hist +114 Machine Learning Glossary →A
- 17:1017:10, 26 January 2023 diff hist +1 Machine Learning Glossary →E
- 17:0817:08, 26 January 2023 diff hist +93 Transformer (machine learning model) →Decoder current
- 17:0717:07, 26 January 2023 diff hist +41 Machine Learning Glossary →A
- 17:0617:06, 26 January 2023 diff hist −11 Machine Learning Glossary →A
- 17:0617:06, 26 January 2023 diff hist +184 Machine Learning Glossary →D
- 17:0117:01, 26 January 2023 diff hist +80 Private:Holography →Background current
- 16:5916:59, 26 January 2023 diff hist +2,022 N Private:Holography Created page with " ==Background== ===Eye accommodation=== thumb|Illustration of accommodation or focusing in the eye. The eye has a variety of depth cues as listed in Wikipedia: Depth_perception. Currently, most VR headsets and 3D displays can simulate the binocular vergence depth cue by showing different images to the left and right eyes. This forces the eye to rotate inwards to perceive near objects. Similar to cameras, the human eye has..."
- 16:3016:30, 26 January 2023 diff hist 0 N File:Eye accommodation illustration.png No edit summary current
25 January 2023
- 19:0519:05, 25 January 2023 diff hist 0 Gumbel-Softmax →Resources current
- 19:0519:05, 25 January 2023 diff hist −18 Gumbel-Softmax →References
- 19:0419:04, 25 January 2023 diff hist +316 Gumbel-Softmax No edit summary
- 18:3518:35, 25 January 2023 diff hist +51 Gumbel-Softmax →Background
- 18:3318:33, 25 January 2023 diff hist +1,638 N Gumbel-Softmax Created page with "Gumbel-softmax<ref name="jang2017gumbel"></ref> is a method to differentiably sample from a categorical distribution. It is available in PyTorch as [https://pytorch.org/docs/stable/generated/torch.nn.functional.gumbel_softmax.html torch.nn.functional.gumbel_softmax]. ==Background== Suppose we have some logits <math>\{a_i\}_{i=0}^{K}</math> (aka unnormalized log probabilities).<br> If we want convert this into a distribution, we can take the softmax.<br> However, there..."