03 2017 档案
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
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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
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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
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摘要：Evolution Strategies as a Scalable Alternative to Reinforcement Learning this blog from: https://blog.openai.com/evolution-strategies/ MARCH 24, 2017
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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)
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摘要：Using convolutional neural nets to detect facial keypoints tutorial this blog from: http://danielnouri.org/notes/2014/12/17/using-convolutional-neural
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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
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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
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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
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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
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摘要：SalGAN: Visual saliency prediction with generative adversarial networks 2017-03-17 Paper: https://arxiv.org/abs/1701.01081 Official Theano Code: https
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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
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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
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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
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摘要：this blog from: https://opendatascience.com/blog/notes-on-representation-learning-1/ Notes on Representation Learning By Zac Kriegman, Senior Data Sci
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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
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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
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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
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摘要：Unsupervised Image-to-Image Translation Networks Reading Writing 2017.03.03 Motivations: most existing image to image translation algorithms are all n
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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
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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
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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
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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
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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
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