User contributions for Sosadatr

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
• 19:2319:23, 31 October 2017 diff hist −2‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 19:2319:23, 31 October 2017 diff hist +6‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 19:1919:19, 31 October 2017 diff hist 0‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 19:1819:18, 31 October 2017 diff hist −1‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 19:1819:18, 31 October 2017 diff hist −1‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 19:1719:17, 31 October 2017 diff hist 0‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 19:1619:16, 31 October 2017 diff hist +5‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 19:1619:16, 31 October 2017 diff hist 0‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎How the ERF evolves during training
• 19:1619:16, 31 October 2017 diff hist 0‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎How the ERF evolves during training
• 19:1519:15, 31 October 2017 diff hist 0‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
• 19:1419:14, 31 October 2017 diff hist +1‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 19:1419:14, 31 October 2017 diff hist −1‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results

30 October 2017

• 23:2923:29, 30 October 2017 diff hist −3‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:2923:29, 30 October 2017 diff hist −1‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:2823:28, 30 October 2017 diff hist +2‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:2823:28, 30 October 2017 diff hist −6‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:2723:27, 30 October 2017 diff hist +1‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:2623:26, 30 October 2017 diff hist 0‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Introduction
• 23:2623:26, 30 October 2017 diff hist +9‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
• 23:2623:26, 30 October 2017 diff hist +43‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
• 23:2423:24, 30 October 2017 diff hist 0‎ N File:understanding ERF fig0.png ‎No edit summary current
• 23:2123:21, 30 October 2017 diff hist −6‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:2023:20, 30 October 2017 diff hist −1‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:1923:19, 30 October 2017 diff hist +2‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:1923:19, 30 October 2017 diff hist +3‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:1823:18, 30 October 2017 diff hist +1‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:1623:16, 30 October 2017 diff hist −8‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:1623:16, 30 October 2017 diff hist +1‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:1523:15, 30 October 2017 diff hist −46‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:1323:13, 30 October 2017 diff hist +30‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:1123:11, 30 October 2017 diff hist −3‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:1023:10, 30 October 2017 diff hist +9‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:1023:10, 30 October 2017 diff hist −25‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:0723:07, 30 October 2017 diff hist +11‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 23:0523:05, 30 October 2017 diff hist −2‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
• 23:0223:02, 30 October 2017 diff hist +29‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
• 22:5922:59, 30 October 2017 diff hist +2‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 22:5822:58, 30 October 2017 diff hist +47‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Verifying Theoretical Results
• 22:5522:55, 30 October 2017 diff hist −2‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Discussion
• 22:5422:54, 30 October 2017 diff hist +1‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Summary & Conclusion
• 22:5422:54, 30 October 2017 diff hist −2‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Summary & Conclusion
• 22:5322:53, 30 October 2017 diff hist 0‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Analysis
• 22:5222:52, 30 October 2017 diff hist +1,023‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Conclusion
• 22:2122:21, 30 October 2017 diff hist +218‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
• 22:1822:18, 30 October 2017 diff hist −3‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
• 22:1722:17, 30 October 2017 diff hist 0‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
• 22:1522:15, 30 October 2017 diff hist +198‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
• 22:1022:10, 30 October 2017 diff hist 0‎ N File:understanding ERF fig5.png ‎No edit summary current
• 22:0922:09, 30 October 2017 diff hist 0‎ N File:understanding ERF fig4.png ‎No edit summary current
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• 22:0522:05, 30 October 2017 diff hist 0‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
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• 21:5221:52, 30 October 2017 diff hist +9‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
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• 21:5021:50, 30 October 2017 diff hist 0‎ N File:understanding ERF fig1.png ‎No edit summary current
• 21:4421:44, 30 October 2017 diff hist +27‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
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• 19:1519:15, 30 October 2017 diff hist +2,129‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎No edit summary
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29 October 2017

• 01:4001:40, 29 October 2017 diff hist +46‎ Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ →‎Introduction
• 01:3601:36, 29 October 2017 diff hist +35‎ N Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ‎ Created page with "= Introduction = === Results ==="
• 01:3401:34, 29 October 2017 diff hist +84‎ f17Stat946PaperSignUp ‎No edit summary
• 01:3201:32, 29 October 2017 diff hist +12‎ f17Stat946PaperSignUp ‎No edit summary

21 October 2017

• 00:3700:37, 21 October 2017 diff hist +212‎ f17Stat946PaperSignUp ‎No edit summary
• 00:1700:17, 21 October 2017 diff hist +10‎ f17Stat946PaperSignUp ‎No edit summary