我的随笔

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The issus in Age Progression/Regression by Conditional Adversarial Autoencoder (CAAE)
AHU-WangXiao 2017-03-30 15:43 阅读:2848 评论:1 推荐:0
(转) 干货 | 图解LSTM神经网络架构及其11种变体（附论文）
AHU-WangXiao 2017-03-26 19:02 阅读:2604 评论:2 推荐:0
强化学习策略梯度方法之: REINFORCE 算法（从原理到代码实现）
AHU-WangXiao 2017-03-26 16:04 阅读:19328 评论:2 推荐:6
(zhuan) Evolution Strategies as a Scalable Alternative to Reinforcement Learning
AHU-WangXiao 2017-03-25 09:28 阅读:588 评论:0 推荐:0
Summary on deep learning framework --- Theano && Lasagne
AHU-WangXiao 2017-03-23 15:06 阅读:4724 评论:0 推荐:0
(zhuan) Using convolutional neural nets to detect facial keypoints tutorial
AHU-WangXiao 2017-03-22 18:59 阅读:615 评论:0 推荐:0
Awesome Torch
AHU-WangXiao 2017-03-22 18:21 阅读:1109 评论:0 推荐:0
Learning to Track at 100 FPS with Deep Regression Networks
AHU-WangXiao 2017-03-22 15:15 阅读:1188 评论:0 推荐:1
(zhuan) 一些RL的文献（及笔记）
AHU-WangXiao 2017-03-19 09:38 阅读:1420 评论:0 推荐:0
(zhuan) Paper Collection of Multi-Agent Reinforcement Learning (MARL)
AHU-WangXiao 2017-03-18 18:17 阅读:1513 评论:0 推荐:0
SalGAN: Visual saliency prediction with generative adversarial networks
AHU-WangXiao 2017-03-17 20:41 阅读:1100 评论:0 推荐:0
数据集是 seq 文件的处理办法
AHU-WangXiao 2017-03-17 10:18 阅读:13118 评论:5 推荐:1
Tutorial: Implementation of Siamese Network on Caffe, Torch, Tensorflow
AHU-WangXiao 2017-03-16 18:58 阅读:2612 评论:3 推荐:0
PredNet --- Deep Predictive coding networks for video prediction and unsupervised learning --- 论文笔记
AHU-WangXiao 2017-03-12 19:50 阅读:2996 评论:0 推荐:0
(zhuan) Notes on Representation Learning
AHU-WangXiao 2017-03-11 08:55 阅读:486 评论:0 推荐:0
(zhuan) How to Train Neural Networks With Backpropagation
AHU-WangXiao 2017-03-11 08:50 阅读:469 评论:1 推荐:0
（转）Introduction to Gradient Descent Algorithm (along with variants) in Machine Learning
AHU-WangXiao 2017-03-10 19:03 阅读:486 评论:0 推荐:0
Learning to Compare Image Patches via Convolutional Neural Networks --- Reading Summary
AHU-WangXiao 2017-03-08 21:23 阅读:1308 评论:0 推荐:0
Unsupervised Image-to-Image Translation Networks --- Reading Writing
AHU-WangXiao 2017-03-03 19:36 阅读:705 评论:0 推荐:0
(转) RNN models for image generation
AHU-WangXiao 2017-03-03 16:20 阅读:938 评论:0 推荐:0
(zhuan) 126 篇殿堂级深度学习论文分类整理 从入门到应用
AHU-WangXiao 2017-03-03 12:32 阅读:749 评论:0 推荐:0
(zhuan) Where can I start with Deep Learning?
AHU-WangXiao 2017-03-03 12:30 阅读:384 评论:0 推荐:0
(zhuan) LSTM Neural Network for Time Series Prediction
AHU-WangXiao 2017-03-02 17:05 阅读:1027 评论:0 推荐:0
Conclusions about Deep Learning with Python
AHU-WangXiao 2017-03-01 16:17 阅读:1576 评论:0 推荐:0
(zhuan) awesome-object-proposals
AHU-WangXiao 2017-02-28 18:11 阅读:1706 评论:0 推荐:1
Face Aging with Conditional Generative Adversarial Network 论文笔记
AHU-WangXiao 2017-02-28 01:16 阅读:1281 评论:0 推荐:0
（转）Understanding, generalisation, and transfer learning in deep neural networks
AHU-WangXiao 2017-02-27 19:01 阅读:651 评论:0 推荐:0
(zhuan) Prioritized Experience Replay
AHU-WangXiao 2017-02-26 10:22 阅读:1094 评论:0 推荐:0
(zhuan) Deep Deterministic Policy Gradients in TensorFlow
AHU-WangXiao 2017-02-26 09:42 阅读:685 评论:0 推荐:0
(转) Read-through: Wasserstein GAN
AHU-WangXiao 2017-02-24 22:06 阅读:351 评论:0 推荐:0
(转) 深度学习全网最全学习资料汇总之入门篇
AHU-WangXiao 2017-02-23 18:27 阅读:640 评论:0 推荐:0
(zhuan) 深度学习全网最全学习资料汇总之模型介绍篇
AHU-WangXiao 2017-02-22 09:10 阅读:887 评论:0 推荐:1
(转) GAN应用情况调研
AHU-WangXiao 2017-02-20 09:36 阅读:3461 评论:0 推荐:0
(转) 机器学习很有趣Part6：怎样使用深度学习进行语音识别
AHU-WangXiao 2017-02-19 17:08 阅读:807 评论:0 推荐:0
（转）深度学习前沿算法思想
AHU-WangXiao 2017-02-19 10:41 阅读:1074 评论:0 推荐:0
（转）PaperWeekly 第二十二期---Image Caption任务综述
AHU-WangXiao 2017-02-18 19:26 阅读:1972 评论:0 推荐:1
(转) The Incredible PyTorch
AHU-WangXiao 2017-02-17 21:52 阅读:1223 评论:0 推荐:0
(转) Let’s make an A3C: Theory
AHU-WangXiao 2017-02-17 09:05 阅读:596 评论:0 推荐:0
（转）Is attacking machine learning easier than defending it?
AHU-WangXiao 2017-02-17 09:03 阅读:351 评论:0 推荐:0
(转) 深度增强学习与通用人工智能
AHU-WangXiao 2017-02-16 12:19 阅读:2050 评论:0 推荐:0
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