User contributions for Sosadatr
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6 November 2017
- 00:1500:15, 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
- 00:1400:14, 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
- 00:1300:13, 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
- 00:1200:12, 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
- 00:1100:11, 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
- 00:0800:08, 6 November 2017 diff hist +6 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 00:0700:07, 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
- 00:0700:07, 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
- 00:0600:06, 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
- 00:0500:05, 6 November 2017 diff hist +6 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 00:0400:04, 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
- 00:0400:04, 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
- 00:0300:03, 6 November 2017 diff hist +17 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 00:0200:02, 6 November 2017 diff hist +97 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
5 November 2017
- 22:4322:43, 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
- 22:2222:22, 5 November 2017 diff hist +47 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 22:1422:14, 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
- 22:0722:07, 5 November 2017 diff hist +3 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 22:0722:07, 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
- 20:4120:41, 5 November 2017 diff hist +233 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 20:3720:37, 5 November 2017 diff hist −6 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 20:3520:35, 5 November 2017 diff hist +6 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 20:3420:34, 5 November 2017 diff hist +311 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 20:2720:27, 5 November 2017 diff hist +229 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 20:1920:19, 5 November 2017 diff hist +49 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 20:1720:17, 5 November 2017 diff hist +551 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 20:0020:00, 5 November 2017 diff hist +52 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
31 October 2017
- 20:0920:09, 31 October 2017 diff hist +200 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Summary & Conclusion
- 19:0119:01, 31 October 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 18:5918:59, 31 October 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 18:5918:59, 31 October 2017 diff hist +54 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 18:5618:56, 31 October 2017 diff hist −1 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 18:5618:56, 31 October 2017 diff hist −74 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 18:5618:56, 31 October 2017 diff hist +32 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 18:5518:55, 31 October 2017 diff hist +37 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 18:5318:53, 31 October 2017 diff hist +2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 18:5118:51, 31 October 2017 diff hist +2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 18:5018:50, 31 October 2017 diff hist −3 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 18:4918:49, 31 October 2017 diff hist +48 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 18:4818:48, 31 October 2017 diff hist −48 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 18:4618:46, 31 October 2017 diff hist +168 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 18:3018:30, 31 October 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →How the ERF evolves during training
- 18:3018:30, 31 October 2017 diff hist +8 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →How the ERF evolves during training
- 18:2918:29, 31 October 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 18:2818:28, 31 October 2017 diff hist +2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 18:2718:27, 31 October 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 18:2718:27, 31 October 2017 diff hist 0 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 18:2618:26, 31 October 2017 diff hist +42 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 18:2418:24, 31 October 2017 diff hist +4 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results
- 18:2318:23, 31 October 2017 diff hist +2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Verifying Theoretical Results