User contributions for A2prasad
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7 November 2017
- 19:3519:35, 7 November 2017 diff hist +1 Learning the Number of Neurons in Deep Networks →Results
- 19:3119:31, 7 November 2017 diff hist +10 Learning the Number of Neurons in Deep Networks →Critique
- 19:3019:30, 7 November 2017 diff hist +373 Learning the Number of Neurons in Deep Networks →Critique
5 November 2017
- 19:4719:47, 5 November 2017 diff hist +3 STAT946F17/ Coupled GAN →MNIST Dataset
- 19:4519:45, 5 November 2017 diff hist +7 STAT946F17/ Coupled GAN →Generator Models
- 18:0618:06, 5 November 2017 diff hist +148 Convolutional Sequence to Sequence Learning →Datasets
- 18:0318:03, 5 November 2017 diff hist +68 Convolutional Sequence to Sequence Learning →Datasets
- 18:0018:00, 5 November 2017 diff hist +69 Convolutional Sequence to Sequence Learning →References
- 17:5017:50, 5 November 2017 diff hist +94 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 17:4917:49, 5 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
- 17:4817:48, 5 November 2017 diff hist −6 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 17:4817:48, 5 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
- 17:4717:47, 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
- 17:4717:47, 5 November 2017 diff hist +621 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Simplest case: Stack of convolutional layers of weights equal to 1
- 17:3317:33, 5 November 2017 diff hist −2 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks No edit summary
- 17:3217:32, 5 November 2017 diff hist +179 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks No edit summary
- 16:3416:34, 5 November 2017 diff hist +1 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Results
- 16:3316:33, 5 November 2017 diff hist +229 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Results
- 16:2216:22, 5 November 2017 diff hist 0 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables
- 16:2116:21, 5 November 2017 diff hist +19 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →List of Tables