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...
:satellite: All You Need to Know About Deep Learning - A kick-starter - GitHub - terryhu08/deep-learning-roadmap: :satellite: All You Need to Know About Deep Learning - A kick-starter
Roadmap for Deep Learning: 1. Mathematical Foundations ->Linear Algebra: Scalars, Vectors, Matrices, Tensors. Operations: Addition, Multiplication, Transpose, Inverse, Determinant. Eigenvalues and Eigenvectors. ->Calculus: Derivatives and Partial Derivatives. Gradients and Jacobians. Chain Rule (essential...
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 understanding of the Deep Learning method, Deep Learning in different areas of application and ...
The leading experts in system change and learning, with their school-based partners around the world, have created this essential companion to their runaway best-seller, Deep Learning: Engage the World Change the World. This hands-on guide provides a roadmap for building capacity in teachers, ...
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。
Deep learning is a new era of machine learning and belonging to the area of artificial intelligence. It has tried to mimic the working of the way the human brain does. The models of deep learning have the capability to deal with high dimensional data and perform the complicated tasks in an...
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 state-of-the-art from generic to specific areas focus on state-of-the-art
Deep Learning Papers Reading Roadmap 地址: https://github.com/songrotek/Deep-Learning-Papers-Reading-Roadmap?utm_source=tuicool&utm_medium=referral 参考: http://www.csdn.net/article/2015-06-01/2824811 1.1 survey Deep Learning 摘要 深度学习:允许拥有多个处理层的计算模型去学习拥有多层抽象的数据表示...
:satellite: Organized Resources for Deep Learning Researchers and Developers - astorfi/Deep-Learning-Roadmap