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摘要: The issus in Age Progression/Regression by Conditional Adversarial Autoencoder (CAAE) Today I tried a new project named: Face-Aging-CAAE Paper Name: A 阅读全文
posted @ 2017-03-30 15:43 AHU-WangXiao 阅读(2817) 评论(1) 推荐(0) 编辑
摘要: 干货 | 图解LSTM神经网络架构及其11种变体(附论文) 2016-10-02 机器之心 选自FastML 作者:Zygmunt Z. 机器之心编译 参与:老红、李亚洲 就像雨季后非洲大草原许多野生溪流分化成的湖泊和水洼,深度学习已经分化成了各种不同的专门架构。 并且,每个架构都会有一个图解,这里 阅读全文
posted @ 2017-03-26 19:02 AHU-WangXiao 阅读(2274) 评论(2) 推荐(0) 编辑
摘要: 强化学习策略梯度方法之: REINFORCE 算法 (从原理到代码实现) 2018-04-01 15:15:42 最近在看policy gradient algorithm, 其中一种比较经典的算法当属:REINFORCE 算法,已经广泛的应用于各种计算机视觉任务当中。 【REINFORCE 算法原 阅读全文
posted @ 2017-03-26 16:04 AHU-WangXiao 阅读(18966) 评论(2) 推荐(6) 编辑
摘要: Evolution Strategies as a Scalable Alternative to Reinforcement Learning this blog from: https://blog.openai.com/evolution-strategies/ MARCH 24, 2017 阅读全文
posted @ 2017-03-25 09:28 AHU-WangXiao 阅读(565) 评论(0) 推荐(0) 编辑
摘要: Summary on deep learning framework Theano && Lasagne 2017-03-23 1. theano.function output = input ** 2 f = theano.function([input], output) print(f(3) 阅读全文
posted @ 2017-03-23 15:06 AHU-WangXiao 阅读(4685) 评论(0) 推荐(0) 编辑
摘要: Using convolutional neural nets to detect facial keypoints tutorial this blog from: http://danielnouri.org/notes/2014/12/17/using-convolutional-neural 阅读全文
posted @ 2017-03-22 18:59 AHU-WangXiao 阅读(594) 评论(0) 推荐(0) 编辑
摘要: Awesome Torch This blog from: A curated list of awesome Torch tutorials, projects and communities. Table of Contents Tutorials Model Zoo Recurrent Net 阅读全文
posted @ 2017-03-22 18:21 AHU-WangXiao 阅读(1094) 评论(0) 推荐(0) 编辑
摘要: Learning to Track at 100 FPS with Deep Regression Networks ECCV 2016 Paper: http://davheld.github.io/GOTURN/GOTURN.pdf Supplement: http://davheld.gith 阅读全文
posted @ 2017-03-22 15:15 AHU-WangXiao 阅读(1173) 评论(0) 推荐(1) 编辑
摘要: 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 Tutoria 阅读全文
posted @ 2017-03-19 09:38 AHU-WangXiao 阅读(1395) 评论(0) 推荐(0) 编辑
摘要: this blog from: https://github.com/LantaoYu/MARL-Papers Paper Collection of Multi-Agent Reinforcement Learning (MARL) This is a collection of research 阅读全文
posted @ 2017-03-18 18:17 AHU-WangXiao 阅读(1479) 评论(0) 推荐(0) 编辑
摘要: SalGAN: Visual saliency prediction with generative adversarial networks 2017-03-17 Paper: https://arxiv.org/abs/1701.01081 Official Theano Code: https 阅读全文
posted @ 2017-03-17 20:41 AHU-WangXiao 阅读(1058) 评论(0) 推荐(0) 编辑
摘要: 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.io/toolbox/index.html 先下载咯: 然后,添加工具包的路径: 然后,进入这个工 阅读全文
posted @ 2017-03-17 10:18 AHU-WangXiao 阅读(12876) 评论(5) 推荐(1) 编辑
摘要: Tutorial: Implementation of Siamese Network with Caffe, Theano, PyTorch, Tensorflow Updated on 2018-07-23 14:33:23 1. caffe version: If you want to tr 阅读全文
posted @ 2017-03-16 18:58 AHU-WangXiao 阅读(2586) 评论(3) 推荐(0) 编辑
摘要: PredNet Deep Predictive coding networks for video prediction and unsupervised learning ICLR 2017 2017.03.12 Code and video examples can be found at: h 阅读全文
posted @ 2017-03-12 19:50 AHU-WangXiao 阅读(2946) 评论(0) 推荐(0) 编辑
摘要: this blog from: https://opendatascience.com/blog/notes-on-representation-learning-1/ Notes on Representation Learning By Zac Kriegman, Senior Data Sci 阅读全文
posted @ 2017-03-11 08:55 AHU-WangXiao 阅读(468) 评论(0) 推荐(0) 编辑
摘要: this blog from: http://blog.demofox.org/2017/03/09/how-to-train-neural-networks-with-backpropagation/ How to Train Neural Networks With Backpropagatio 阅读全文
posted @ 2017-03-11 08:50 AHU-WangXiao 阅读(456) 评论(1) 推荐(0) 编辑
摘要: Introduction Optimization is always the ultimate goal whether you are dealing with a real life problem or building a software product. I, as a compute 阅读全文
posted @ 2017-03-10 19:03 AHU-WangXiao 阅读(455) 评论(0) 推荐(0) 编辑
摘要: Learning to Compare Image Patches via Convolutional Neural Networks Reading Summary 2017.03.08 Target: this paper attempt to learn a geneal similarity 阅读全文
posted @ 2017-03-08 21:23 AHU-WangXiao 阅读(1291) 评论(0) 推荐(0) 编辑
摘要: Unsupervised Image-to-Image Translation Networks Reading Writing 2017.03.03 Motivations: most existing image to image translation algorithms are all n 阅读全文
posted @ 2017-03-03 19:36 AHU-WangXiao 阅读(689) 评论(0) 推荐(0) 编辑
摘要: RNN models for image generation MARCH 3, 2017 Today we’re looking at the remaining papers from the unsupervised learning and generative networks secti 阅读全文
posted @ 2017-03-03 16:20 AHU-WangXiao 阅读(919) 评论(0) 推荐(0) 编辑
摘要: 126 篇殿堂级深度学习论文分类整理 从入门到应用 | 干货 雷锋网 作者: 三川 2017-03-02 18:40:00 查看源网址 阅读数:66 雷锋网 作者: 三川 2017-03-02 18:40:00 查看源网址 阅读数:66 如果你有非常大的决心从事深度学习,又不想在这一行打酱油,那么研 阅读全文
posted @ 2017-03-03 12:32 AHU-WangXiao 阅读(705) 评论(0) 推荐(0) 编辑
摘要: Where can I start with Deep Learning? By Rotek Song, Deep Reinforcement Learning/Robotics/Computer Vision/iOS | 03/01/2017 If you are a newcomer to th 阅读全文
posted @ 2017-03-03 12:30 AHU-WangXiao 阅读(363) 评论(0) 推荐(0) 编辑
摘要: 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 machi 阅读全文
posted @ 2017-03-02 17:05 AHU-WangXiao 阅读(1014) 评论(0) 推荐(0) 编辑
摘要: Conclusions about Deep Learning with Python file_path = '{}/{}_ep{:04d}.pth.tar'.format(directory, net_type, self.epoch) 0. Install the specific versi 阅读全文
posted @ 2017-03-01 16:17 AHU-WangXiao 阅读(1509) 评论(0) 推荐(0) 编辑
摘要: awesome-object-proposals A curated list of object proposals resources for object detection. This Blog From this link: https://github.com/caocuong0306/ 阅读全文
posted @ 2017-02-28 18:11 AHU-WangXiao 阅读(1662) 评论(0) 推荐(1) 编辑
摘要: 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。 主要是做了一下两个事情: 1. 根据年龄阶段 阅读全文
posted @ 2017-02-28 01:16 AHU-WangXiao 阅读(1249) 评论(0) 推荐(0) 编辑
摘要: Understanding, generalisation, and transfer learning in deep neural networks FEBRUARY 27, 2017 This is the first in a series of posts looking at the ‘ 阅读全文
posted @ 2017-02-27 19:01 AHU-WangXiao 阅读(624) 评论(0) 推荐(0) 编辑
摘要: Prioritized Experience Replay JAN 26, 2016 Schaul, Quan, Antonoglou, Silver, 2016 This Blog from: http://pemami4911.github.io/paper-summaries/2016/01/ 阅读全文
posted @ 2017-02-26 10:22 AHU-WangXiao 阅读(1079) 评论(0) 推荐(0) 编辑
摘要: Deep Deterministic Policy Gradients in TensorFlow Deep Deterministic Policy Gradients in TensorFlow AUG 21, 2016 This blog from: http://pemami4911.git 阅读全文
posted @ 2017-02-26 09:42 AHU-WangXiao 阅读(668) 评论(0) 推荐(0) 编辑
摘要: Sorta Insightful Reviews Projects Archive Research About Reviews Projects Archive Research About In a world where everyone has opinions, one man...als 阅读全文
posted @ 2017-02-24 22:06 AHU-WangXiao 阅读(341) 评论(0) 推荐(0) 编辑
摘要: 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 阅读全文
posted @ 2017-02-23 18:27 AHU-WangXiao 阅读(610) 评论(0) 推荐(0) 编辑
摘要: 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 阅读全文
posted @ 2017-02-22 09:10 AHU-WangXiao 阅读(864) 评论(0) 推荐(1) 编辑
摘要: 本文转自: https://mp.weixin.qq.com/s?__biz=MzA5MDMwMTIyNQ==&mid=2649290778&idx=1&sn=9816b862e167c4792f4251c199fcae16&chksm=8811ee5cbf66674a54e87bc3cef4937 阅读全文
posted @ 2017-02-20 09:36 AHU-WangXiao 阅读(3416) 评论(0) 推荐(0) 编辑
摘要: 本文转自:http://www.jiqizhixin.com/article/2321 机器学习很有趣Part6:怎样使用深度学习进行语音识别 2017-02-19 13:20:47 机器学习 0 0 0 还记得machine learning is fun吗?本文是该系列文章的第六部分,博主通俗细 阅读全文
posted @ 2017-02-19 17:08 AHU-WangXiao 阅读(775) 评论(0) 推荐(0) 编辑
摘要: 深度学习前沿算法思想 本文转自: https://mp.weixin.qq.com/s?__biz=MzA5NDExMTAzNA==&mid=2649981646&idx=2&sn=8fe05eac5a5068efb65ca1602e5fd3a0&chksm=8854b69bbf233f8db5db 阅读全文
posted @ 2017-02-19 10:41 AHU-WangXiao 阅读(1007) 评论(0) 推荐(0) 编辑
摘要: 本文转自:http://mp.weixin.qq.com/s?__biz=MzIwMTc4ODE0Mw==&mid=2247484014&idx=1&sn=4a053986f5dc8abb45097fed169465fa&chksm=96e9ddeea19e54f83b717d63029a12715 阅读全文
posted @ 2017-02-18 19:26 AHU-WangXiao 阅读(1904) 评论(0) 推荐(1) 编辑
摘要: 转自:https://github.com/ritchieng/the-incredible-pytorch The Incredible PyTorch What is this? This is inspired by the famous Awesome TensorFlow reposito 阅读全文
posted @ 2017-02-17 21:52 AHU-WangXiao 阅读(1214) 评论(0) 推荐(0) 编辑
摘要: 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 阅读全文
posted @ 2017-02-17 09:05 AHU-WangXiao 阅读(568) 评论(0) 推荐(0) 编辑
摘要: 转自:http://www.cleverhans.io/security/privacy/ml/2017/02/15/why-attacking-machine-learning-is-easier-than-defending-it.html 转自:http://www.cleverhans.io 阅读全文
posted @ 2017-02-17 09:03 AHU-WangXiao 阅读(339) 评论(0) 推荐(0) 编辑
摘要: 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。 责编:何永灿,欢迎人工智能领域技术投稿、约稿、给文章纠错,请发送 阅读全文
posted @ 2017-02-16 12:19 AHU-WangXiao 阅读(2023) 评论(0) 推荐(0) 编辑
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