User contributions for Alcateri
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12 December 2015
- 23:3123:31, 12 December 2015 diff hist +1,656 extracting and Composing Robust Features with Denoising Autoencoders →Analysis of the Denoising Autoencoder: - Included section on Stochastic Operator Perspective
- 22:5022:50, 12 December 2015 diff hist +35 m extracting and Composing Robust Features with Denoising Autoencoders →The Denoising Autoencoder: - Cleaned up the wording and mathematical notation in this section
- 20:0520:05, 12 December 2015 diff hist +2,040 the loss surfaces of multilayer networks (Choromanska et al.) Adding a "Prior Work" section, along with showing the references.
2 December 2015
- 16:1316:13, 2 December 2015 diff hist +564 on the difficulty of training recurrent neural networks →Background
- 16:0116:01, 2 December 2015 diff hist +40 on the difficulty of training recurrent neural networks →Background
23 November 2015
- 13:4013:40, 23 November 2015 diff hist +922 learning Fast Approximations of Sparse Coding →Coordinate Descent: Added CoD algorithm and comment about similarity to ISTA
20 November 2015
- 00:2100:21, 20 November 2015 diff hist +2,310 show, Attend and Tell: Neural Image Caption Generation with Visual Attention Adding Related Work section
18 November 2015
- 21:4321:43, 18 November 2015 diff hist +653 the Manifold Tangent Classifier →Discussion
- 19:1619:16, 18 November 2015 diff hist +20,731 N the Manifold Tangent Classifier Created page with "== Introduction == The goal in many machine learning problems is to extract information from data with minimal prior knowledge<ref name = "main"> Rifai, S., Dauphin, Y. N., Vinc..."
- 18:1618:16, 18 November 2015 diff hist +44 N File:Figure 1 MTC.png Visualization of the learned tangents of CAE current
16 November 2015
- 13:3913:39, 16 November 2015 diff hist +44 f15Stat946PaperSignUp →Set B
12 November 2015
- 12:5412:54, 12 November 2015 diff hist +2,673 deep neural networks for acoustic modeling in speech recognition →Generative Pretraining
- 10:2510:25, 12 November 2015 diff hist +622 deep neural networks for acoustic modeling in speech recognition →Generative Pretraining: - Introduction of Generative Pretraining
11 November 2015
- 23:2423:24, 11 November 2015 diff hist +31 deep neural networks for acoustic modeling in speech recognition No edit summary
30 October 2015
- 11:1511:15, 30 October 2015 diff hist −2 human-level control through deep reinforcement learning →The Bellman Equation in the Loss Framework
- 11:1011:10, 30 October 2015 diff hist +3 human-level control through deep reinforcement learning →Data & Preprocessing
- 11:0511:05, 30 October 2015 diff hist −34 human-level control through deep reinforcement learning →Introduction
- 11:0511:05, 30 October 2015 diff hist −75 human-level control through deep reinforcement learning →Introduction
- 11:0411:04, 30 October 2015 diff hist −10 human-level control through deep reinforcement learning →Introduction
- 11:0311:03, 30 October 2015 diff hist +769 human-level control through deep reinforcement learning No edit summary