User contributions for Sosadatr
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6 November 2017
- 23:0423:04, 6 November 2017 diff hist +1 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 22:5322:53, 6 November 2017 diff hist +2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 22:2022:20, 6 November 2017 diff hist +8 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks No edit summary
- 14:3014:30, 6 November 2017 diff hist +37 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →How to increase RF size?
- 14:2614:26, 6 November 2017 diff hist +226 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Non-uniform Kernels
- 14:2314:23, 6 November 2017 diff hist +335 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Non-uniform Kernels
- 14:1514:15, 6 November 2017 diff hist −2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Random Weights
- 14:1414:14, 6 November 2017 diff hist +61 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Random Weights
- 14:1214:12, 6 November 2017 diff hist −2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Random Weights
- 14:1214:12, 6 November 2017 diff hist +280 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Random Weights
- 14:0714:07, 6 November 2017 diff hist −2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Random Weights
- 14:0614:06, 6 November 2017 diff hist +978 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 13:3513:35, 6 November 2017 diff hist +24 User:Sosadatr No edit summary current
- 06:3006:30, 6 November 2017 diff hist +192 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 05:4905:49, 6 November 2017 diff hist +11 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Non-linear Activation Functions
- 05:4805:48, 6 November 2017 diff hist +329 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Non-linear Activation Functions
- 05:3305:33, 6 November 2017 diff hist −8 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 05:3205:32, 6 November 2017 diff hist +304 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 05:2405:24, 6 November 2017 diff hist −2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 05:2005:20, 6 November 2017 diff hist +6 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 05:1805:18, 6 November 2017 diff hist +1 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 05:1705:17, 6 November 2017 diff hist +394 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 04:5204:52, 6 November 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 04:5204:52, 6 November 2017 diff hist +2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →References
- 04:4504:45, 6 November 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Non-Linear Activation Functions
- 04:4404:44, 6 November 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Non-Uniform Kernels
- 04:4104:41, 6 November 2017 diff hist +113 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks No edit summary
- 04:3104:31, 6 November 2017 diff hist +1 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 04:2804:28, 6 November 2017 diff hist +99 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Discussion
- 04:2204:22, 6 November 2017 diff hist +5 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Discussion
- 04:2104:21, 6 November 2017 diff hist +32 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Discussion
- 04:2004:20, 6 November 2017 diff hist +4 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →How the ERF evolves during training
- 04:2004:20, 6 November 2017 diff hist +4 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 04:2004:20, 6 November 2017 diff hist +4 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Summary & Conclusion
- 01:5901:59, 6 November 2017 diff hist +166 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:5701:57, 6 November 2017 diff hist +1 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:5601:56, 6 November 2017 diff hist +1 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:5501:55, 6 November 2017 diff hist +40 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:5201:52, 6 November 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:5101:51, 6 November 2017 diff hist +157 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:4001:40, 6 November 2017 diff hist −2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 01:3901:39, 6 November 2017 diff hist +224 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:3401:34, 6 November 2017 diff hist +1 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:3301:33, 6 November 2017 diff hist +308 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:2301:23, 6 November 2017 diff hist +2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:2101:21, 6 November 2017 diff hist −9 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:2101:21, 6 November 2017 diff hist +50 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:1801:18, 6 November 2017 diff hist +7 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:1701:17, 6 November 2017 diff hist −12 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:1601:16, 6 November 2017 diff hist +20 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:1501:15, 6 November 2017 diff hist +2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:1401:14, 6 November 2017 diff hist +8 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:1301:13, 6 November 2017 diff hist −1 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:1201:12, 6 November 2017 diff hist −2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:1101:11, 6 November 2017 diff hist +22 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:0801:08, 6 November 2017 diff hist +6 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 01:0701:07, 6 November 2017 diff hist −30 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:0701:07, 6 November 2017 diff hist −2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:0601:06, 6 November 2017 diff hist +4 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:0501:05, 6 November 2017 diff hist +6 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 01:0401:04, 6 November 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:0401:04, 6 November 2017 diff hist +13 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 01:0301:03, 6 November 2017 diff hist +17 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 01:0201:02, 6 November 2017 diff hist +97 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
5 November 2017
- 23:4323:43, 5 November 2017 diff hist +329 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 23:2223:22, 5 November 2017 diff hist +47 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 23:1423:14, 5 November 2017 diff hist +2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 23:0723:07, 5 November 2017 diff hist +3 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 23:0723:07, 5 November 2017 diff hist +91 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 21:4121:41, 5 November 2017 diff hist +233 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 21:3721:37, 5 November 2017 diff hist −6 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 21:3521:35, 5 November 2017 diff hist +6 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 21:3421:34, 5 November 2017 diff hist +311 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 21:2721:27, 5 November 2017 diff hist +229 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 21:1921:19, 5 November 2017 diff hist +49 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 21:1721:17, 5 November 2017 diff hist +551 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 21:0021:00, 5 November 2017 diff hist +52 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
31 October 2017
- 21:0921:09, 31 October 2017 diff hist +200 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Summary & Conclusion
- 20:0120:01, 31 October 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 19:5919:59, 31 October 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 19:5919:59, 31 October 2017 diff hist +54 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 19:5619:56, 31 October 2017 diff hist −1 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 19:5619:56, 31 October 2017 diff hist −74 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 19:5619:56, 31 October 2017 diff hist +32 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 19:5519:55, 31 October 2017 diff hist +37 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 19:5319:53, 31 October 2017 diff hist +2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 19:5119:51, 31 October 2017 diff hist +2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 19:5019:50, 31 October 2017 diff hist −3 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 19:4919:49, 31 October 2017 diff hist +48 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 19:4819:48, 31 October 2017 diff hist −48 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 19:4619:46, 31 October 2017 diff hist +168 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 19:3019:30, 31 October 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →How the ERF evolves during training
- 19:3019:30, 31 October 2017 diff hist +8 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →How the ERF evolves during training
- 19:2919:29, 31 October 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 19:2819:28, 31 October 2017 diff hist +2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 19:2719:27, 31 October 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 19:2719:27, 31 October 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 19:2619:26, 31 October 2017 diff hist +42 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 19:2419:24, 31 October 2017 diff hist +4 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 19:2319:23, 31 October 2017 diff hist +2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results