1. 概述类 首先是概述类论文，先后有2013年的“Representation Learning: A Review and New Perspectives”和2015年的”Deep Learning in Neural Networks: An Overview”两篇。 上传了较新的一篇。 3. 分布式计算 分布式计算方面论文涉及到具体解决计算能力的问题。有2012年的两篇论文Building High-level Features Using Large Scale Unsupervi
ECMAscr ipt 6 is the new edition to the ECMAscr ipt language, whose specifications are inherited by Javascr ipt. ES6 gives a vast makeover to Javascr ipt by adding new syntaxes and APIs to write complex applications and libraries that are easier to
It's been said that data is the new "dirt"—the raw material from which and on which you build the structures of the modern world. And like dirt, data can seem like a limitless, undifferentiated mass. The ability to take raw data, access it, filter i
Meta-Learning and the Full Model Selection Problem 这是是 including data preprocessing, outlier detection, feature selection, learning algorithm and evaluation techniques, for a given data project
On First-Order Meta-Learning Algorithms
Paper:https://arxiv.org/pdf/1803.02999.pdf
Code:https://github.com/openai/supervised-reptile
Tips：OpenAi的一篇相似MAML的Meta-learning相关的paper。
（阅读笔记）
1.Main idea
目标旨在实现相同分布的一类任务的少量样本快速学习。This paper considers meta-lea
