路线图在Github上,地址是: GitHub - songrotek/Deep-Learning-Papers-Reading-Roadmap: Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! 以下是截图: 希望对大家有所帮助!编辑于 2016-10-23 12:50 深度学习(Deep Learning) 人工智能 科技 赞同131547 条...
After reading above papers, you will have a basic understanding of the Deep Learning history, the basic architectures of Deep Learning model(including CNN, RNN, LSTM) and how deep learning can be applied to image and speech recognition issues. The following papers will take you in-depth underst...
0000:Deep Learning Papers Reading Roadmap 偶然间, 发现了昵称为 songrotek 的学霸在 GitHub 发布了他整理的深度学习paper路线图,一个收获了近万颗星星好评,人气极高的项目.分门别类梳理了新入门者最需要学习的 DL 论文,又按重要程度给每篇论文打上星星。 === 作为深度学习萌新,你的第一个问题或许是:“论文...
If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?"Here is a reading roadmap of Deep Learning papers!The roadmap is constructed in accordance with the following four guidelines:From outline to detail From old to ...
Source:pythonprogramming.net/neural-networks-machine-learning-tutorial If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?" Here is a reading roadmap of Deep Learning papers!
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! - zhouqingyu/Deep-Learning-Papers-Reading-Roadmap
Deep-Learning-Papers-Reading-Roadmap: [1] LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. "Deep learning." (2015)(Three Giants' Survey) Review 机器学习在当下有很多应用:从网络搜索的内容过滤到电商的商品推荐,以及在手持设备相机和智能手机上的应用。机器学习系统用来做图像识别,语音转换,推送符合用户...
The paper also describes deep learning libraries along with the platform and interface in which they can be used. The accuracy is evaluated with respect to various machine learning and deep learning models on the MNIST dataset. The evaluation shows classification on deep learning model is far ...
推荐一个Github上的论文ListDeep-Learning-Papers-Reading-Roadmap收录了近几年影响力比较大的Paper，且...
Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching ...