User contributions for Sosadatr
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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