User contributions for Sosadatr
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6 November 2017
- 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