User contributions for A2prasad
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7 November 2017
- 22:4122:41, 7 November 2017 diff hist −30 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Training MN
- 22:4122:41, 7 November 2017 diff hist −2 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Training MN
- 22:4122:41, 7 November 2017 diff hist +12 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Training MN
- 22:4122:41, 7 November 2017 diff hist +12 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Training MN
- 22:4022:40, 7 November 2017 diff hist −1 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Training MN
- 22:3922:39, 7 November 2017 diff hist +99 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Training MN
- 21:5321:53, 7 November 2017 diff hist +155 FeUdal Networks for Hierarchical Reinforcement Learning →References
- 19:4419:44, 7 November 2017 diff hist +191 Learning the Number of Neurons in Deep Networks →Related Work
- 19:4019:40, 7 November 2017 diff hist +2 Learning the Number of Neurons in Deep Networks →References
- 19:4019:40, 7 November 2017 diff hist +146 Learning the Number of Neurons in Deep Networks →References
- 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