大师Geoff Hinton关于Deep Neural Networks的建议 Note: This covers suggestions from Geoff Hinton's talk given at UBC which was recorded May 30, 2013. It does not cover bleeding edge techniques. 主要分为如下几点展开: Have a Deep Network. 1-2个hidden layers被认为是一个shallow n…

About this Course This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good res…

On Explainability of Deep Neural Networks « Learning F# Functional Data Structures and Algorithms is Out!   On Explainability of Deep Neural Networks During a discussion yesterday with software architect extraordinaire David Lazar regarding how every…

Classifying plankton with deep neural networks The National Data Science Bowl, a data science competition where the goal was to classify images of plankton, has just ended. I participated with six other members of my research lab, the Reservoir lab o…

(Deep) Neural Networks (Deep Learning) , NLP and Text Mining 最近翻了一下关于Deep Learning 或者 普通的Neural Network在NLP以及Text Mining方面应用的文章,包括Word2Vec等,然后将key idea提取出来罗列在了一起,有兴趣的可以下载看看: http://pan.baidu.com/s/1sjNQEfz 我没有把一些我自己的想法放到里面,大家各抒己见,多多交流. 下面简单概括一些其中的几篇p…

Must Know Tips/Tricks in Deep Neural Networks (by Xiu-Shen Wei)   Deep Neural Networks, especially Convolutional Neural Networks (CNN), allows computational models that are composed of multiple processing layers to learn representations of data with…

http://lamda.nju.edu.cn/weixs/project/CNNTricks/CNNTricks.html Deep Neural Networks, especially Convolutional Neural Networks (CNN), allows computational models that are composed of multiple processing layers to learn representations of data with mul…

Understanding, generalisation, and transfer learning in deep neural networks FEBRUARY 27, 2017   This is the first in a series of posts looking at the ‘top 100 awesome deep learning papers.’ Deviating from the normal one-paper-per-day format, I’ll ta…

Imagine you're an engineer who has been asked to design a computer from scratch. One day you're working away in your office, designing logical circuits, setting out AND gates, OR gates, and so on, when your boss walks in with bad news. The customer h…

论文地址:https://asa.scitation.org/doi/abs/10.1121/1.5036725 深度神经网络在浅水环境中的源定位 摘要: 深度神经网络(DNNs)在表征复杂的非线性关系方面具有优势.本文将DNNs应用于浅水环境下的源定位.提出了两种方法,通过不同的神经网络结构来估计宽带源的范围和深度.第一阶段采用经典的两阶段方案,特征提取和DNN分析是两个独立的步骤;与模态信号空间相关联的特征向量被提取为输入特征.然后,利用时滞神经网络对长期特征表示进行建模,构建回归模型;第二…