User contributions for Sosadatr
Jump to navigation
Jump to search
6 November 2017
- 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