郑重声明:原文参见标题,如有侵权,请联系作者,将会撤销发布! Contents: Abstract 1. Introduction 2. Reward-Prediction Error Meets Dopamine 3. Reward-Prediction Error and Incentive Salience: What Do They Explain? 4. Explanatory Depth, Reward-Prediction Error and Incentive Salience…

郑重声明:原文参见标题,如有侵权,请联系作者,将会撤销发布! Abstract 在中脑多巴胺能神经元的研究中取得了许多最新进展.要了解这些进步以及它们之间的相互关系,需要对作为解释框架并指导正在进行的实验探究的计算模型有深刻的理解.现在,理论和实验的这种相互交织非常清楚地表明,中脑多巴胺神经元的阶段性活动为突触改变提供了一个整体机制.这些突触改变反过来又为特定类别的强化学习机制提供了机械基础,而强化学习机制现在似乎已成为人类和动物行为的基础.这篇综述既描述了该结论的关键经验性发现,也描述了得出此…

原文地址: https://www.sohu.com/a/231895305_200424 --------------------------------------------------------------------------------------------- 前言 比起人类,深度学习算法已经在很多任务上的表现更优秀.但它们的学习效率很低.一个电子游戏,人类玩一个下午大概就会了,而算法得花上百个小时.Deep Mind认为,这可能是人类的元学习能力占了优势. Deep Mind…

Curiosity-Driven Learning through Next State Prediction 2019-10-19 20:43:17 This paper is from: https://medium.com/data-from-the-trenches/curiosity-driven-learning-through-next-state-prediction-f7f4e2f592fa In the last few years, we’ve seen a lot of…

最近在学深度学习相关的东西,在网上搜集到了一些不错的资料,现在汇总一下: Free Online Books  by Yoshua Bengio, Ian Goodfellow and Aaron Courville Neural Networks and Deep Learning42 by Michael Nielsen Deep Learning27 by Microsoft Research Deep Learning Tutorial23 by LISA lab, University…

Adit Deshpande CS Undergrad at UCLA ('19) Blog About The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3) Introduction Link to Part 1Link to Part 2 In this post, we’ll go into summarizing a lot of the new and important develo…

Applied Deep Learning Resources A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings. Including trained models and simple methods that can be used out of the box. Mainly focusing on Convoluti…

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…

##机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 2)---#####注:机器学习资料[篇目一](https://github.com/ty4z2008/Qix/blob/master/dl.md)共500条,[篇目二](https://github.com/ty4z2008/Qix/blob/master/dl2.md)开始更新------#####希望转载的朋友**一定要保留原文链接**,因为这个项目还在继续也在不定期更新．希望看到…

CNN综述文章 的翻译 [2019 CVPR] A Survey of the Recent Architectures of Deep Convolutional Neural Networks 翻译 综述深度卷积神经网络架构:从基本组件到结构创新 目录 摘要    1.引言    2.CNN基本组件        2.1 卷积层        2.2 池化层        2.3 激活函数        2.4 批次归一化        2.5 Dropout        2.6 全连接层…