User contributions for A2prasad

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