Main Contributions: A brief introduction about two different methods (retrieval based method and generative method) for image captioning task. The authors implemented the classical model, Show and Tell, and gave analyses based on the experiments. Exc…

Link of the Paper: https://arxiv.org/abs/1411.4555 Main Points: A generative model ( NIC, GoogLeNet + LSTM ) based on a deep recurrent architecture: the model is trained to maximize the likelihoodP(S|I) of the target description sentence given the tr…

Link of the Paper: https://arxiv.org/pdf/1502.03044.pdf Main Points: Encoder-Decoder Framework: Encoder uses a convolutional neural network to extract a set of feature vectors which the authors refer to as annotation vectors. The extractor produces L…

论文链接:https://arxiv.org/pdf/1502.03044.pdf 代码链接:https://github.com/kelvinxu/arctic-captions & https://github.com/yunjey/show-attend-and-tell & https://github.com/jazzsaxmafia/show_attend_and_tell.tensorflow 主要贡献 在这篇文章中,作者将“注意力机制(Attention Mechanism…

论文链接:https://arxiv.org/pdf/1411.4555.pdf 代码链接:https://github.com/karpathy/neuraltalk & https://github.com/karpathy/neuraltalk2 & https://github.com/zsdonghao/Image-Captioning 主要贡献 在这篇文章中,作者借鉴了神经机器翻译(Neural Machine Translation)领域的方法,将“编码器-解码器(Encod…

http://handong1587.github.io/deep_learning/2015/10/09/training-dnn.html  //转载于 Training Deep Neural Networks  Published: 09 Oct 2015  Category: deep_learning Tutorials Popular Training Approaches of DNNs — A Quick Overview https://medium.com/@asjad/p…

目录 概 主要内容 Mustafa A., Khan S., Hayat M., Goecke R., Shen J., Shao L., Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, arXiv preprint arXiv:1904.00887, 2019. 代码 概 类似的, 是large margin的思想, 亮点是多层? 主要内容 以下, \(f^l\)表示第\(l\)层的输入,…

论文:Deep Neural Networks for YouTube Recommendations 发表时间:2016 发表作者:(Google)Paul Covington, Jay Adams, Emre Sargin 发表刊物/会议:RecSys 论文链接:论文链接 这篇论文是google的YouTube团队在推荐系统上DNN方面的尝试,发表在16年9 月的RecSys会议.本文就focus在YouTube视频推荐的DNN算法,文中不但详细介绍了Youtube推荐算法和架构细节,还给了…

Imagine you're an engineer who has been asked to design a computer from scratch. One day you're working away in your office, designing logical circuits, setting out AND gates, OR gates, and so on, when your boss walks in with bad news. The customer h…

About this Course This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good res…