深度学习网络matlab工具包，包含深度信度网络dbn，卷积网络cnn，sae（stacked auto-encoders）,cae(Convolutional auto-encoders)等实现。 ================================================================ Directories included in the toolbox ----------------------------------- `NN/` - A li
1. 概述类 首先是概述类论文，先后有2013年的“Representation Learning: A Review and New Perspectives”和2015年的”Deep Learning in Neural Networks: An Overview”两篇。 上传了较新的一篇。 3. 分布式计算 分布式计算方面论文涉及到具体解决计算能力的问题。有2012年的两篇论文Building High-level Features Using Large Scale Unsupervi
As representation scheme can severely limit the window by which the system observes its world, deep learning for fault diagnosis is put forward in this paper. It is a real time online scheme that can enhance the accuracy of detection, classification
We propose the Wasserstein Auto-Encoder (WAE)|a new algorithm for building a generative model of the data distribution. WAE minimizes a penalized form of the Wasserstein distance between the model distribution and the target distribution, which lead
Auto-encoding is an important task which is typically re- alized by deep neural networks (DNNs) such as convolu- tional neural networks (CNN). In this paper, we propose En- coderForest (abbrv. eForest), the first tree ensemble based auto-encoder. We
This paper is concerned of the loop closure detection problem for visual simultaneous localization and mapping systems.We propose a novel approach based on the stacked denoising auto-encoder (SDA), a multi-layer neural network that autonomously lear
Unsupervised Learning: Deep Auto-encoder Auto-encoder Deep Auto-encoder Auto-encoder – Text Retrieval Auto-encoder – Similar Image Search Auto-encoder for CNN CNN -Unpooling CNN - Deconvolution
Most real-world recommender services measure their performance based on the top-N results shown to the end users. Thus, advances in top-N recommendation have far-ranging consequences in practical applications. In this paper, we present a novel metho
