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!
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 ...
深度学习论文阅读路线图. Contribute to Joegxx/Deep-Learning-Papers-Reading-Roadmap development by creating an account on GitHub.
1.2 Deep Belief Network(DBN)(Milestone of Deep Learning Eve) [2]Hinton, Geoffrey E., Simon Osindero, and Yee-Whye Teh. "A fast learning algorithm for deep belief nets." Neural computation 18.7 (2006): 1527-1554.[pdf](Deep Learning Eve) [3]Hinton, Geoffrey E., and Ruslan R. Salakhutd...
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...
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...
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。
Study Road Map first understand the traditional word embedding technology and new word embedding technology then explore the application that can be done with these word embedding technology Word embedding (feature extraction) application what application does NLP have that related to NN ??
4.1.machine learning(ML) 4.1.1.data preprocessing 4.1.2. elements in machine learning 4.1.3.linear model 4.1.4.decision tree 4.1.5.support vector machine(SVM) 4.1.6.bayesian classifiers 4.1.7.Ensemble learning 4.1.8.probablistic graphic model ...
代码地址: https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap download.py的内容如下 from __future__ import print_function import os import re from six.moves.urllib.error importHTTPErrorimport shutil import argparse import mistune ...