CNN(卷积神经网络)、RNN(循环神经网络)、DNN,LSTM
http://cs231n.github.io/neural-networks-1
https://arxiv.org/pdf/1603.07285.pdf
https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks/
Applied Deep Learning - Part 1: Artificial Neural Networks
- 课程官网:CS231n: Convolutional Neural Networks for Visual Recognition
- Github:https://github.com/cs231n/cs231n.github.io | http://cs231n.github.io/
- 教学安排及大纲:Schedule and Syllabus
- 课程视频:Youtube上查看Andrej Karpathy创建的播放列表,或者网易云课堂
- 课程pdf及视频下载:百度网盘下载,密码是4efx
http://ufldl.stanford.edu/tutorial/supervised/ConvolutionalNeuralNetwork/
作者:zhwhong
链接:http://www.jianshu.com/p/182baeb82c71
來源:简书
著作权归作者所有。商业转载请联系作者获得授权,非商业转载请注明出处。
[斯坦福CS231n课程整理] Convolutional Neural Networks for Visual Recognition(附翻译,作业)
http://www.jianshu.com/p/182baeb82c71
CS231n Winter 2016 Lecture 1 Introduction and Historical Context-F ...
https://www.youtube.com/watch?v=2uiulzZxmGg
http://cs231n.stanford.edu/syllabus.html
http://cs231n.stanford.edu/2016/syllabus
https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/
- karpathy/neuraltalk2: Efficient Image Captioning code in Torch, Examples
- Shaoqing Ren, et al, “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks”, 2015, arXiv:1506.01497
- Neural Network Architectures, Eugenio Culurciello’s blog
- CS231n Convolutional Neural Networks for Visual Recognition, Stanford
- Clarifai / Technology
- Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks
- Feature extraction using convolution, Stanford
- Wikipedia article on Kernel (image processing)
- Deep Learning Methods for Vision, CVPR 2012 Tutorial
- Neural Networks by Rob Fergus, Machine Learning Summer School 2015
- What do the fully connected layers do in CNNs?
- Convolutional Neural Networks, Andrew Gibiansky
- A. W. Harley, “An Interactive Node-Link Visualization of Convolutional Neural Networks,” in ISVC, pages 867-877, 2015 (link). Demo
- Understanding Convolutional Neural Networks for NLP
- Backpropagation in Convolutional Neural Networks
- A Beginner’s Guide To Understanding Convolutional Neural Networks
- Vincent Dumoulin, et al, “A guide to convolution arithmetic for deep learning”, 2015, arXiv:1603.07285
- What is the difference between deep learning and usual machine learning?
- How is a convolutional neural network able to learn invariant features?
- A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
- Honglak Lee, et al, “Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations” (link)
https://cambridgespark.com/content/tutorials/convolutional-neural-networks-with-keras/index.html
http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/
http://deeplearning.net/tutorial/lenet.html
http://cs231n.github.io/convolutional-networks/
http://ufldl.stanford.edu/tutorial/supervised/ConvolutionalNeuralNetwork/
https://cambridgespark.com/content/tutorials/convolutional-neural-networks-with-keras/index.html
http://colah.github.io/posts/2014-03-NN-Manifolds-Topology/
http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html
http://cs.stanford.edu/people/karpathy/convnetjs//demo/classify2d.html
斯坦福神经网络视频
https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv
http://cs231n.github.io/convolutional-networks/
深层学习为何要“Deep”(上)
https://zhuanlan.zhihu.com/p/22888385
深层学习为何要“Deep”(下)
https://zhuanlan.zhihu.com/p/24245040
熵与生命
https://yjango.gitbooks.io/superorganism/content/shang_yu_sheng_ming.html
《超智能体》作者讲述深层神经网络设计理念
https://v.douyu.com/show/j4xq3WDO3pRMLGNz
CNN(卷积神经网络)、RNN(循环神经网络)、DNN
https://www.zhihu.com/question/34681168
度强化学习(Deep Reinforcement Learning)入门:RL base & DQN-DDPG-A3C introduction
https://zhuanlan.zhihu.com/p/25239682
http://colah.github.io/posts/2015-08-Understanding-LSTMs/
https://zhuanlan.zhihu.com/p/22888385
https://www.zhihu.com/question/22553761
https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=402032673&idx=1&sn=d7e636b6d033cbcf8a74dfaf710e9ccf#rd
http://wiki.jikexueyuan.com/project/deep-learning/recognition-digit.html
http://cs231n.github.io/convolutional-networks/
https://github.com/rasbt/python-machine-learning-book/tree/master/faq
台湾
http://www.jianshu.com/p/c30f7c944b66
为什么神经网络牛逼?
https://www.zhihu.com/question/41667903/answer/130691120
https://ujjwalkarn.me/2016/08/09/quick-intro-neural-networks/
http://home.agh.edu.pl/~vlsi/AI/backp_t_en/backprop.html
https://github.com/rasbt/python-machine-learning-book/tree/master/faq
https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/
http://karpathy.github.io/2015/05/21/rnn-effectiveness/
https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471
http://cs231n.github.io/convolutional-networks/
http://www.jianshu.com/p/1afda7000d8e
http://ufldl.stanford.edu/tutorial/supervised/MultiLayerNeuralNetworks/
http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/
http://deeplearning.net/tutorial/lenet.html
http://ufldl.stanford.edu/tutorial/supervised/ConvolutionalNeuralNetwork/
http://blog.163.com/lipse_huang/blog/static/19165754520133954138888/
https://en.wikipedia.org/wiki/Convolutional_neural_network
http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/
https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/
http://cs231n.github.io/convolutional-networks/
http://cs231n.github.io/classification/
http://cs231n.github.io/linear-classify/
http://ufldl.stanford.edu/tutorial/supervised/MultiLayerNeuralNetworks/
https://medium.com/@ageitgey/machine-learning-is-fun-part-2-a26a10b68df3
Hacker's guide to Neural Networks
http://karpathy.github.io/neuralnets/
https://www.zhihu.com/question/57493889
https://github.com/msracver/Deformable-ConvNets
CNN(卷积神经网络)、RNN(循环神经网络)、DNN,LSTM的更多相关文章
- Keras(四)CNN 卷积神经网络 RNN 循环神经网络 原理及实例
CNN 卷积神经网络 卷积 池化 https://www.cnblogs.com/peng8098/p/nlp_16.html 中有介绍 以数据集MNIST构建一个卷积神经网路 from keras. ...
- Recurrent Neural Networks(RNN) 循环神经网络初探
1. 针对机器学习/深度神经网络“记忆能力”的讨论 0x1:数据规律的本质是能代表此类数据的通用模式 - 数据挖掘的本质是在进行模式提取 数据的本质是存储信息的介质,而模式(pattern)是信息的一 ...
- CNN(卷积神经网络)、RNN(循环神经网络)、DNN(深度神经网络)的内部网络结构有什么区别?
https://www.zhihu.com/question/34681168 CNN(卷积神经网络).RNN(循环神经网络).DNN(深度神经网络)的内部网络结构有什么区别?修改 CNN(卷积神经网 ...
- 深度学习之循环神经网络RNN概述,双向LSTM实现字符识别
深度学习之循环神经网络RNN概述,双向LSTM实现字符识别 2. RNN概述 Recurrent Neural Network - 循环神经网络,最早出现在20世纪80年代,主要是用于时序数据的预测和 ...
- TensorFlow框架(6)之RNN循环神经网络详解
1. RNN循环神经网络 1.1 结构 循环神经网络(recurrent neural network,RNN)源自于1982年由Saratha Sathasivam 提出的霍普菲尔德网络.RNN的主 ...
- 4.5 RNN循环神经网络(recurrent neural network)
自己开发了一个股票智能分析软件,功能很强大,需要的点击下面的链接获取: https://www.cnblogs.com/bclshuai/p/11380657.html 1.1 RNN循环神经网络 ...
- 关于 RNN 循环神经网络的反向传播求导
关于 RNN 循环神经网络的反向传播求导 本文是对 RNN 循环神经网络中的每一个神经元进行反向传播求导的数学推导过程,下面还使用 PyTorch 对导数公式进行编程求证. RNN 神经网络架构 一个 ...
- CNN(卷积神经网络)、RNN(循环神经网络)和DNN(深度神经网络)
本文转载修改自:知乎-科言君 感知机(perceptron) 神经网络技术起源于上世纪五.六十年代,当时叫感知机(perceptron),拥有输入层.输出层和一个隐含层.输入的特征向量通过隐含层变换达 ...
- 神经网络6_CNN(卷积神经网络)、RNN(循环神经网络)、DNN(深度神经网络)概念区分理解
sklearn实战-乳腺癌细胞数据挖掘(博客主亲自录制视频教程,QQ:231469242) https://study.163.com/course/introduction.htm?courseId ...
随机推荐
- 【CRM】Microsoft CRM-QueryExpression 成员
名称 ColumnSet 获取或设置要包含的列. Criteria 获取或设置过滤查询结果的复杂条件和逻辑过滤器表达式. Distinct 获取或设置查询的结果是否包含重复的实体实例. Entit ...
- html 知识点
web服务本质 import socket def main(): sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.bind ...
- XamarinAndroid组件教程设置动画的设置插值器
XamarinAndroid组件教程设置动画的设置插值器 为动画设置插值器,可以使用BaseItemAnimator抽象类中的SetInterpolator()方法,其语法形式如下: public v ...
- DRF分页组件
为什么要使用分页 其实这个不说大家都知道,大家写项目的时候也是一定会用的, 我们数据库有几千万条数据,这些数据需要展示,我们不可能直接从数据库把数据全部读取出来, 这样会给内存造成特别大的压力,有可能 ...
- Tapable.plugin is deprecated. Use new API on `.hooks` instead
问题描述 在使用extract-text-webpack-plugin给webpack打包时出现报错 Tapable.plugin is deprecated. Use new API on `.ho ...
- Python中join 和 split详解(推荐)
http://www.jb51.net/article/87700.htm python join 和 split方法简单的说是:join用来连接字符串,split恰好相反,拆分字符串的. .join ...
- BZOJ3537 : [Usaco2014 Open]Code Breaking
考虑容斥,枚举哪些串必然出现,那么贡献为$(-1)^{选中的串数}$. 设$f[i][j]$表示$i$的子树内,$i$点往上是$j$这个串的贡献之和,那么总状态数为$O(n+m)$,用map存储$f$ ...
- async与await线程分配研究
using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.T ...
- 3ds max学习笔记(十)-- 实例操作(镜像和对齐)
1,镜像 选择物体对象然后点击: 偏移:新对象距离轴心所在的直线的距离: 2.对齐 栗子: 选择小球,点击[对齐];鼠标放置在图种位置,点击鼠标左键 出现弹框 调整位置: 先选择对齐位置-->当 ...
- soapUI-Webservice接口测试
打开soapUI File -> New SOAP Project 在WSDL中输入:http://www.webxml.com.cn/WebServices/WeatherWebService ...