描述IGP的经典书籍，CCIE 之路必备资料。

一个用于高维单目标优化的算法，详见：Ran Cheng and Yaochu Jin. A Competitive Swarm Optimizer for Large Scale Optimization. IEEE Transactions on Cybernetics, 2014

Large-Scale Learnable Graph Convolutional Networks（LGCN）论文的ppt pdf 资源分享

在大规模标记属性图上优化算法的研究很少。在这里，我们提出了两种优化方法，并将它们与直接查询图数据库的简单方法进行了比较。我们工作的目的是确定像Neo4j这样的图形数据库的限制因素，我们描述了一个解决这些挑战的新方案。

CarrierClass.net是面向企业，高等教育，非营利组织和政府机构的免费软件，大规模，高可用性通信系统。

Large Scale Machine Learning with Python

ImageNet Large Scale Visual Recognition Challenge.pdf

In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting. Our main contribution is a thorough evaluation of networks of increasing depth using an architecture with very small (3×3) convolution filters, which shows that a significant improvement on the prior-art configurations can be achieved by pushing the depth to 16–19 weight layers. These findings were the basis of our ImageNet Challenge 2014 submission, where our team secured the first and the second places in the localisation and classification tracks respectively. We also show that our representations generalise well to other datasets, where they achieve state-of-the-art results. We have made our two best-performing ConvNet models publicly available to facilitate further research on the use of deep visual representations in computer vision.

Large Scale Distributed Deep Networks

Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods