arXiv is an e-print service in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance and statistics. There'll be lots of papers in advance. Here's some recent papers which is important or interesting. 1. Obj…
Natural Neural Networks Google DeepMind又一神作 Projected Natural Gradient Descent algorithm (PRONG) better than SGD as evidenced by the boost in performance offered by batch normalization (BN) Deep Convolutional Matching DEEP-PLANT: PLANT IDENTIFICATION…
Image Representations and New Domains inNeural Image Captioning we find that a state-of-theart neuralcaptioning algorithm is able to produce quality captions even when providedwith surprisingly poor image representations Deep Boosting: Joint Feature…
这一期的神作论文有蛮多的,都很有意思. Feature Representation In ConvolutionalNeural Networks 该论文中论述了在某种CNN结构下,是否有准确率较高的off model的分类方法(这里是指非softmax)能达到更有效的分类结果呢? 论文给出了肯定的答案. 该论文还给出了各层特征重要性的图表,蛮有意思的 watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQv/font/5a6L5L2T/fontsize/40…
Convolutional Color Constancy can this be used for training cnn to narrow the gap between different lighting conditions? Describing Multimedia Content using Attention-based Encoder–Decoder Networks lots of machine translation, speech recognition, ima…
最近在学深度学习相关的东西,在网上搜集到了一些不错的资料,现在汇总一下: Free Online Books  by Yoshua Bengio, Ian Goodfellow and Aaron Courville Neural Networks and Deep Learning42 by Michael Nielsen Deep Learning27 by Microsoft Research Deep Learning Tutorial23 by LISA lab, University…
Awesome Deep Learning  Table of Contents Free Online Books Courses Videos and Lectures Papers Tutorials Researchers WebSites Datasets Frameworks Miscellaneous Contributing Free Online Books Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Cou…
What's the most effective way to get started with deep learning?       29 Answers     Yoshua Bengio, My lab has been one of the three that started the deep learning approach, back in 2006, along with Hinton's... Answered Jan 20, 2016   Originally Ans…
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 the Deep Learning area, the first question you may have is “Which paper should I start reading from?…
The major advancements in Deep Learning in 2016 地址:https://tryolabs.com/blog/2016/12/06/major-advancements-deep-learning-2016/ 主要挑战是unsupervised learning 无监督学习,2016年大量的研究专注于generative models 生成模型.几大巨头谷歌和脸书分别创新于自然语言处理NLP. 无监督学习 无监督学习指的是在没有额外信息的新数据中,提取…