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我是wangxiao-23158
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个人介绍
编程语言，算法相关技术专家
擅长的技术
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发表了文章 2017-03-26
强化学习策略梯度方法之: REINFORCE 算法
强化学习策略梯度方法之: REINFORCE 算法 2017-03-26 15:57:56 最近在看policy gradient algorithm, 关于公式推导部分有一个 似然比例技巧 (the likelihood ratio trick).
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发表了文章 2017-03-25
(zhuan) Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Evolution Strategies as a Scalable Alternative to Reinforcement Learning this blog from: https://blog.
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发表了文章 2017-03-23
Some Problems for Deep Learning with Theano && Lasagne framework
Some Problems for Deep Learning with Theano && Lasagne framework 2017-03-23 1. theano.function output = input ** 2 f = theano.
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发表了文章 2017-03-22
(zhuan) Using convolutional neural nets to detect facial keypoints tutorial
Using convolutional neural nets to detect facial keypoints tutorial this blog from: http://danielnouri.
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发表了文章 2017-03-22
Awesome Torch
Awesome Torch This blog from: A curated list of awesome Torch tutorials, projects and communities.
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发表了文章 2017-03-22
Learning to Track at 100 FPS with Deep Regression Networks ECCV 2016 论文笔记
Learning to Track at 100 FPS with Deep Regression Networks ECCV 2016 论文笔记 工程网页：http://davheld.github.io/GOTURN/GOTURN.html GitHub 地址：https://github.com/davheld/GOTURN 本文第一次利用 Deep Learning 技术将跟踪的速度维持在 100fps，当然是使用 GPU 的前提下。
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发表了文章 2017-03-19
(zhuan) 一些RL的文献（及笔记）
一些RL的文献（及笔记） copy from: https://zhuanlan.zhihu.com/p/25770890 Introductions Introduction to reinforcement learningIndex of /rowan/files/rlICML Tutorials:http://icml.
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发表了文章 2017-03-18
(zhuan) Paper Collection of Multi-Agent Reinforcement Learning (MARL)
this blog from: https://github.com/LantaoYu/MARL-Papers Paper Collection of Multi-Agent Reinforcement Learning (MARL) This is a collection of research...
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发表了文章 2017-03-17
SalGAN: Visual saliency prediction with generative adversarial networks
SalGAN: Visual saliency prediction with generative adversarial networks 2017-03-17 摘要：本文引入了对抗网络的对抗训练机制来进行显著性物体的预测。
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发表了文章 2017-03-17
数据集是 seq 文件的处理办法
数据集是 seq 文件的处理办法 2017-03-17 最近下了一个数据集，是 seq 格式的，第一次处理这种数据。使用了官方提供的 matlab 工具包：https://pdollar.github.
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发表了文章 2017-03-16
Tutorial: Implementation of Siamese Network on Caffe, Torch, Tensorflow
Tutorial: Implementation of Siamese Network on Caffe, Torch, Tensorflow 1. caffe version: If you want to try this network, just do as the o...
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发表了文章 2017-03-12
PredNet --- Deep Predictive coding networks for video prediction and unsupervised learning --- 论文笔记
PredNet --- Deep Predictive coding networks for video prediction and unsupervised learning ICLR 2017 2017.03.12 Code and video examples can be found at: https://coxlab.github.io/prednet/ 摘要：基于监督训练的深度学习技术取得了非常大的成功，但是无监督问题仍然是一个未能解决的一大难题（从未标注的数据中学习到一个领域的结构）。
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发表了文章 2017-03-11
(zhuan) Notes on Representation Learning
this blog from: https://opendatascience.com/blog/notes-on-representation-learning-1/ Notes on Representation Learning By Zac Kriegman, Senior D...
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发表了文章 2017-03-11
(zhuan) How to Train Neural Networks With Backpropagation
this blog from: http://blog.demofox.org/2017/03/09/how-to-train-neural-networks-with-backpropagation/ How to Train Neural Networks With Backpropaga...
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发表了文章 2017-03-10
（转）Introduction to Gradient Descent Algorithm (along with variants) in Machine Learning
Introduction Optimization is always the ultimate goal whether you are dealing with a real life problem or building a software product.
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发表了文章 2017-03-08
Learning to Compare Image Patches via Convolutional Neural Networks --- Reading Summary
Learning to Compare Image Patches via Convolutional Neural Networks --- Reading Summary 2017.03.08 Target: this paper attempt to learn a geneal...
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发表了文章 2017-03-03
Unsupervised Image-to-Image Translation Networks --- Reading Writing
Unsupervised Image-to-Image Translation Networks --- Reading Writing 2017.03.03 Motivations: most existing image to image translation algorithm...
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发表了文章 2017-03-03
(转) RNN models for image generation
RNN models for image generation MARCH 3, 2017 Today we’re looking at the remaining papers from the unsupervised learning and generative ...
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发表了文章 2017-03-03
(zhuan) Where can I start with Deep Learning?
Where can I start with Deep Learning? By Rotek Song, Deep Reinforcement Learning/Robotics/Computer Vision/iOS | 03/01/2017 If you are a newco...
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发表了文章 2017-03-02
(zhuan) LSTM Neural Network for Time Series Prediction
LSTM Neural Network for Time Series Prediction Wed 21st Dec 2016 Neural Networks these days are the “go to” thing when talking about new fads in machine learning.
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发表了文章 2017-03-01
Some Conclusions about Python Programming
Some Conclusions about Python Programming Last night, I start to learn the python for deep learning research.
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发表了文章 2017-02-28
(zhuan) awesome-object-proposals
awesome-object-proposals A curated list of object proposals resources for object detection.
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发表了文章 2017-02-28
Face Aging with Conditional Generative Adversarial Network 论文笔记
Face Aging with Conditional Generative Adversarial Network 论文笔记 2017.02.28 Motivation： 本文是要根据最新的条件产生式对抗玩网络（CGANs）来完成，人类老年照片的估计。
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发表了文章 2017-02-27
（转）Understanding, generalisation, and transfer learning in deep neural networks
Understanding, generalisation, and transfer learning in deep neural networks FEBRUARY 27, 2017 This is the first in a series of posts lo...
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发表了文章 2017-02-26
(zhuan) Prioritized Experience Replay
Prioritized Experience Replay JAN 26, 2016 Schaul, Quan, Antonoglou, Silver, 2016 This Blog from: http://pemami4911.
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发表了文章 2017-02-26
(zhuan) Deep Deterministic Policy Gradients in TensorFlow
Deep Deterministic Policy Gradients in TensorFlow AUG 21, 2016 This blog from: http://pemami4911.
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发表了文章 2017-02-24
(转) Read-through: Wasserstein GAN
Sorta Insightful Reviews Projects Archive Research About In a world where everyone has opinions, one man.
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发表了文章 2017-02-23
(转) 深度学习全网最全学习资料汇总之入门篇
本文转自: http://www.dlworld.cn/ZiLiaoXiaZai/3428.html 深度学习全网最全学习资料汇总之入门篇 作为人工智能领域一个重要的研究分支，深度学习技术几乎出现在当下所有热门的AI应用领域，包括语音识别，语义理解，图像识别，大数据分析等等，甚至有人把当前的人工智能等同于深度学习。
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发表了文章 2017-02-22
(zhuan) 深度学习全网最全学习资料汇总之模型介绍篇
This blog from : http://weibo.com/ttarticle/p/show?id=2309351000224077630868614681&u=5070353058&m=4077873754872790&cu=5070353058 深度学习全网最全学习资料汇总之模型介绍篇 雷锋网 作者： 三川 2017-02-21 16:38:00 查看源网址 阅读数：4 本文旨在加速深度学习新手入门，介绍 CNN、DBN、RNN、RNTN、自动编码器、GAN 等开发者最常用的深度学习模型与架构。
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发表了文章 2017-02-20
(转) GAN应用情况调研
本文转自: https://mp.weixin.qq.com/s?__biz=MzA5MDMwMTIyNQ==&mid=2649290778&idx=1&sn=9816b862e167c4792f4251c199fcae16&chksm=8811ee5cbf66674a54e87bc3c...
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发表了文章 2017-02-18
（转）PaperWeekly 第二十二期---Image Caption任务综述
本文转自：http://mp.weixin.qq.com/s?__biz=MzIwMTc4ODE0Mw==&mid=2247484014&idx=1&sn=4a053986f5dc8abb45097fed169465fa&chksm=96e9ddeea19e54f83b717d63029a127...
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发表了文章 2017-02-17
(转) The Incredible PyTorch
转自：https://github.com/ritchieng/the-incredible-pytorch The Incredible PyTorch What is this? This is inspired by the famous Awesome TensorFlow rep...
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发表了文章 2017-02-17
(转) Let’s make an A3C: Theory
本文转自：https://jaromiru.com/2017/02/16/lets-make-an-a3c-theory/ Let’s make an A3C: Theory February 16, 2017A3C This article is part of series Let’s make an A3C.
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发表了文章 2017-02-17
（转）Is attacking machine learning easier than defending it?
转自：http://www.cleverhans.io/security/privacy/ml/2017/02/15/why-attacking-machine-learning-is-easier-than-defending-it.
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发表了文章 2017-02-16
(转) 深度增强学习与通用人工智能
深度增强学习前沿算法思想 CSDN 作者： Flood Sung 2017-02-16 09:34:29 举报 阅读数：3361 作者： Flood Sung，CSDN博主，人工智能方向研究生，专注于深度学习，增强学习与机器人的研究。
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发表了文章 2017-02-15
(转) K-Means聚类的Python实践
本文转自： http://python.jobbole.com/87343/ K-Means聚类的Python实践 2017/02/11 · 实践项目 · K-means, 机器学习 分享到：1 原文出处： 搜不狐 K-Means应该是最简单的聚类算法之一了吧，理论上很简单，就是随即初始化几个中心点，不断的把他们周围的对象聚集起来，然后根据这群对象的重置中心点，不断的迭代，最终找到最合适的几个中心点，就算完成了。
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发表了文章 2017-02-15
(转) Awesome - Most Cited Deep Learning Papers
本文转自：https://github.com/terryum/awesome-deep-learning-papers#reinforcement-learning Awesome - Most Cited Deep Learning Papers A curated l...
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发表了文章 2017-02-13
(转) AI突破性论文及代码实现汇总
本文转自：https://zhuanlan.zhihu.com/p/25191377 AI突破性论文及代码实现汇总 极视角 · 2 天前 What Can AI Do For You? “The business plans of the next 10,000 startups are easy to forecast: Take X and add AI.
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发表了文章 2017-02-13
Video Frame Synthesis using Deep Voxel Flow 论文笔记
Video Frame Synthesis using Deep Voxel Flow 论文笔记 arXiv 摘要：本文解决了模拟新的视频帧的问题，要么是现有视频帧之间的插值，要么是紧跟着他们的探索。
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发表了文章 2017-02-12
（转）看穿机器学习（W-GAN模型）的黑箱
本文转自：http://www.360doc.com/content/17/0212/11/35919193_628410589.shtml# 看穿机器学习（W-GAN模型）的黑箱 2017-02-12 黑马_御风 摘自 老顾谈几何 阅 3 转藏到我的图书馆 微信分享： 图a. Principle of GAN. 前两天纽约暴雪，天地一片苍茫。
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发表了文章 2017-02-12
谷歌大规模机器学习：模型训练、特征工程和算法选择 (32PPT下载)
本文转自：http://mp.weixin.qq.com/s/Xe3g2OSkE3BpIC2wdt5J-A 谷歌大规模机器学习：模型训练、特征工程和算法选择 (32PPT下载) 2017-01-26 新智元 1新智元编译 来源：ThingsExpo、Medium 作者：Natalia Ponomareva、Gokula Krishnan Santhanam 整理＆编译：刘小芹、李静怡、胡祥杰 新智元日前宣布，获6家顶级机构总额达数千万元的PreA轮融资，蓝驰创投领投，红杉资本中国基金、高瓴智成、蓝湖资本 、蓝象资本、今日头条跟投。
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发表了文章 2017-01-23
(转) Supercharging Style Transfer
Supercharging Style Transfer Wednesday, October 26, 2016 Posted by Vincent Dumoulin*, Jonathon Shlens and Manjunath Kudlur, Google Brain TeamPastiche.
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发表了文章 2017-01-23
深度学习框架 TensorFlow 常见问题总结
1. Check failed: s.ok() could not find cudnnCreate in cudnn DSO; tensorflow/stream_executor/cuda/cuda_dnn.
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发表了文章 2017-01-22
(转) How a Kalman filter works, in pictures
How a Kalman filter works, in pictures I have to tell you about the Kalman filter, because what it does is pretty damn amazing.
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发表了文章 2017-01-22
Torch 两个矩形框重叠面积的计算 （IoU between tow bounding box）
Torch 两个矩形框重叠面积的计算 （IoU between tow bounding box） 1 function DecideOberlap(BBox_x1, BBox_y1, BBox_x2, BBox_y2, BBox_gt_x1, BBox_gt_y1, BBox...
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发表了文章 2017-01-20
配置和运行 MatchNet CVPR 2015 MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching
配置和运行 MatchNet CVPR 2015 GitHub: https://github.com/hanxf/matchnet 最近一个同学在配置,测试这个网络,但是总是遇到各种问题.
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发表了文章 2017-01-20
利用Python 脚本生成 .h5 文件 代码
利用Python 脚本生成 .h5 文件 1 import os, json, argparse 2 from threading import Thread 3 from Queue import Queue 4 5 import numpy as np 6 from scipy.
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发表了文章 2017-01-18
利用深度学习网络自动给图像上色的文章和相关工程实现
利用深度学习网络自动给图像上色的文章和相关工程实现 1. Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization wit...
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发表了文章 2017-01-18
Perceptual Losses for Real-Time Style Transfer and Super-Resolution and Super-Resolution 论文笔记
Perceptual Losses for Real-Time Style Transfer and Super-Resolution and Super-Resolution 论文笔记 ECCV 2016 摘要： 许多经典问题可以看做是 图像转换问题（image transformation tasks）。
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发表了文章 2017-01-17
(转) Dissecting Reinforcement Learning-Part.2
Dissecting Reinforcement Learning-Part.2 Jan 15, 2017 • Massimiliano Patacchiola 原文链接：https://mpatacchiola.
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发表了文章
2017-12-25
一文读懂 深度强化学习算法 A3C （Actor-Critic Algorithm）
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发表了文章
2017-12-21
18 Issues in Current Deep Reinforcement Learning from ZhiHu
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发表了文章
2017-12-17
（转）ResNet, AlexNet, VGG, Inception: Understanding various architectures of Convolutional Networks
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发表了文章
2017-12-10
深度强化学习之：模仿学习（imitation learning）
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发表了文章
2017-12-08
论文笔记之：Collaborative Deep Reinforcement Learning for Joint Object Search
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发表了文章
2017-11-28
论文笔记之：Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach
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发表了文章
2017-11-22
到底什么是 ROI Pooling Layer ???
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发表了文章
2017-10-25
论文笔记：Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
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发表了文章
2017-10-18
论文笔记： Dual Deep Network for Visual Tracking
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发表了文章
2017-10-16
(zhuan) Attention in Neural Networks and How to Use It
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发表了文章
2017-09-15
论文笔记：Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking
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发表了文章
2017-08-31
(转) The care and maintenance of your adviser
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发表了文章
2017-08-17
Basic Mathematics You Should Mastered
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发表了文章
2017-08-17
(zhuan) Building Convolutional Neural Networks with Tensorflow
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发表了文章
2017-08-13
Some tutorials and conclusions about deep learning framework ---- 【pytorch】
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发表了文章
2017-08-08
Ubuntu yindaoxiufu 引导修复（Boot Repair)
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发表了文章
2017-08-02
Tutorials on training the Skip-thoughts vectors for features extraction of sentence.
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发表了文章
2017-07-29
(zhuan) Variational Autoencoder: Intuition and Implementation
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发表了文章
2017-07-20
(zhuan) 资源|TensorFlow初学者必须了解的55个经典案例
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发表了文章
2017-07-20
(zhuan) 自然语言处理中的Attention Model：是什么及为什么
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