文件名称：Benchmark模型matlab代码-Notes-1:笔记-1
文件大小：15.46MB
文件格式：ZIP
更新时间：2024-06-15 15:57:56
系统开源
Benchmark模型matlab代码 Notes Marks Code Marks Code Marks Code Marks Code Marks Code cite:NIPS2013_5192 Marks Code cite:karpathy15:visual_under_recur_networ Marks Code Deep Tracking Seeing Beyond Seeing Using Recurrent Neural Marks Code Marks Code Tutorial/ Deep Reinforcement Learning Marks Code Marks Code cite:NIPS2013_5192 Marks Code Summary(<2016>) 关于现在做的Tracking的一些问题： 首先是关于将RNN模型放在Benchmark上的问题，由于之前考虑欠佳，如果需要将RNN用在一般的数据集上有一个很大的问题就是没有足够多的样本来做训练，这是一个最大的问题。 论文的数目还是不太够。 没有找到合适的切入点去做。 需要看一下在
【文件预览】：
Notes-1-master
----DRAW: A Recurrent Neural Network For Image Generation()
--------DRAW: A Recurrent Neural Network For Image Generation.org(8KB)
--------DRAW: A Recurrent Neural Network For Image Generation.pdf(176KB)
----Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks()
--------9.26.RCNN.pdf(4.6MB)
----Cmake Tutorial()
--------Cmake Tutorial.pdf(158KB)
--------Cmake Tutorial.org(6KB)
----Video Tracking Using Learned Hierarchical Features()
--------Video Tracking Using Learned Hierarchical Features.pdf(282KB)
--------images()
--------Trans-DLT.pdf(2.44MB)
--------Video Tracking Using Learned Hierarchical Features.org(6KB)
----Tutorial: Deep Reinforcement Learning()
--------2.pdf(909B)
--------Tutorial: Deep Reinforcement Learning.pdf(61KB)
--------Tutorial: Deep Reinforcement Learning.org(2KB)
----First Step Toward Model-free, Anonymous Object Tracking with Recurrent Neural Networks()
--------First Step Toward Model-free, Anonymous Object Tracking with Recurrent Neural Networks.pdf(257KB)
--------First Step Toward Model-free, Anonymous Object Tracking with Recurrent Neural Networks.org(14KB)
--------RNNT.pdf(853KB)
----Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks()
--------Deep Tracking Seeing Beyond Seeing Using Recurrent Neural.org Networks.pdf(189KB)
--------Deep Tracking Seeing Beyond Seeing Using Recurrent Neural Networks.pdf(189KB)
--------Deep Tracking Seeing Beyond Seeing Using Recurrent Neural.org Networks.org(2KB)
--------Deep Tracking Seeing Beyond Seeing Using Recurrent Neural Networks.org(2KB)
----Transferring Rich Feature Hierarchies for Robust Visual Tracking()
--------Transferring Rich Feature Hierarchies for Robust Visual Tracking.org(8KB)
--------images()
--------Transferring Rich Feature Hierarchies for Robust Visual Tracking.pdf(256KB)
--------SO-DLT.pdf(2.05MB)
----RATM: Recurrent Attentive Tracking Model()
--------RATM: Recurrent Attentive Tracking Model.org(2KB)
--------RATM: Recurrent Attentive Tracking Model.pdf(175KB)
----README.org(4KB)
----Layer Normalization()
--------=2016=Layer Normalization.pdf(598KB)
--------Layer Normalization.org(781B)
--------Layer Normalization.pdf(21KB)
----Auto-Encoding Variational Bayes()
--------Auto-Encoding Variational Bayes.org(496B)
----Learning a Deep Compact Image Representation for Visual Tracking()
--------Learning a Deep Compact Image Representation for Visual Tracking.pdf(216KB)
--------Learning a Deep Compact Image Representation for Visual Tracking.org(2KB)
----Visualizing and Understanding Recurrent Networks()
--------Visualizing and Understanding Recurrent Networks.org(6KB)
--------Visualizing and Understanding Recurrent Networks_copy.org(2KB)
--------Visualizing and Understanding Recurrent Networks.pdf(2.85MB)
----Git Tutorial()
--------Git Tutorial.pdf(52KB)
--------Git Tutorial.org(1KB)
----Batch Normalization()
--------Batch Normalization.org(6KB)
--------=2015=Batch Normalization.pdf(169KB)
--------Batch Normalization.pdf(206KB)