User contributions for Bjkomer
Jump to navigation
Jump to search
15 December 2015
- 17:2117:21, 15 December 2015 diff hist +413 extracting and Composing Robust Features with Denoising Autoencoders →The Denoising Autoencoder
- 16:1416:14, 15 December 2015 diff hist +1 m extracting and Composing Robust Features with Denoising Autoencoders →Conclusion and Future Work
- 16:1016:10, 15 December 2015 diff hist +265 extracting and Composing Robust Features with Denoising Autoencoders →The Denoising Autoencoder
10 December 2015
- 18:3618:36, 10 December 2015 diff hist +277 distributed Representations of Words and Phrases and their Compositionality No edit summary
- 18:2818:28, 10 December 2015 diff hist +286 distributed Representations of Words and Phrases and their Compositionality →Introduction
- 17:4517:45, 10 December 2015 diff hist +334 very Deep Convoloutional Networks for Large-Scale Image Recognition No edit summary
- 17:3017:30, 10 December 2015 diff hist +196 very Deep Convoloutional Networks for Large-Scale Image Recognition →Introduction
- 17:2817:28, 10 December 2015 diff hist +251 very Deep Convoloutional Networks for Large-Scale Image Recognition →Conclusion
- 17:2617:26, 10 December 2015 diff hist +29 very Deep Convoloutional Networks for Large-Scale Image Recognition No edit summary
- 16:2616:26, 10 December 2015 diff hist +2 m very Deep Convoloutional Networks for Large-Scale Image Recognition →Classification Framework
- 16:1616:16, 10 December 2015 diff hist 0 m very Deep Convoloutional Networks for Large-Scale Image Recognition →Classification Framework
9 December 2015
- 15:2815:28, 9 December 2015 diff hist +1 m learning Convolutional Feature Hierarchies for Visual Recognition →Pedestrian Detection
- 15:2715:27, 9 December 2015 diff hist +1 m learning Convolutional Feature Hierarchies for Visual Recognition →Object Recognition using Caltech-101 Dataset
- 15:2615:26, 9 December 2015 diff hist −2 m learning Convolutional Feature Hierarchies for Visual Recognition →Object Recognition using Caltech-101 Dataset
- 15:1515:15, 9 December 2015 diff hist +2 m learning Convolutional Feature Hierarchies for Visual Recognition →Overview
- 15:0415:04, 9 December 2015 diff hist +4 m the loss surfaces of multilayer networks (Choromanska et al.) →Theoretical Analysis
- 14:1514:15, 9 December 2015 diff hist −3 m the Wake-Sleep Algorithm for Unsupervised Neural Networks →Why is the Posterior Distribution is Intractable?
1 December 2015
- 14:0114:01, 1 December 2015 diff hist +4 m strategies for Training Large Scale Neural Network Language Models →Experiment with large RNN models
- 14:0014:00, 1 December 2015 diff hist +3 m strategies for Training Large Scale Neural Network Language Models →E. Parallelization
- 13:5913:59, 1 December 2015 diff hist +6 m strategies for Training Large Scale Neural Network Language Models →B. Reduction of number of training tokens