qq_26493017的博客

Countless learning tasks require dealing with sequential data. Image captioning, speech synthesis, and music generation all require that a model produce outputs that are sequences. In other domains, such as time series prediction, video analysis, and musical information retrieval, a model must learn from inputs that are sequences. Interactive tasks, such as translat- ing natural language, engaging in dialogue, and controlling a robot, often demand both capabilities. Recurrent neural networks (RNNs) are connec- tionist models that capture the dynamics of sequences via cycles in the network of nodes.

The year 2018 is ending and it’s now time for a new set of Deep Learning predictions for 2019. Here are my previous predictions and retrospectives for 2017 and 2018.

Distribution ray tracing uses Monte Carlo integration to solve the rendering equation. This technique was introduced by Cook et. al, and was notable because of its simplicity and its ability to simulate areal luminaires, camera lens e ects, motion blur, and imperfect specular re ection[5]. Distribution ray tracing has been extended and modi ed by many researchers, most no- tably by Kajiya who added true indirect illumination[12]. Distribution ray tracing has also been used as the viewing component of radiosity systems (e.g [37, 3]). In this paper we examine some of the central issues of distribu- tion ray tracing that have been overlooked in the literature but are still of importance

markdown入门,arkdown是一种可以使用普通文本编辑器编写的标记语言，通过简单的标记语法，它可以使普通文本内容具有一定的格式。Markdown具有一系列衍生版本，用于扩展Markdown的功能（如表格、脚注、内嵌HTML等等），这些功能原初的Markdown尚不具备，它们能让Markdown转换成更多的格式，例如LaTeX，Docbook

经典的一本关于随机过程的教材,不仅仅局限于金融领域,其实随即过程在很多工科和理科都是必修科目.可以极大增强自己的数学功底.

刘铁岩关于分布式机器学习的讲座,其中包含对未来研究方向的讨论.

原版pdf书,讲述现代c++并发编程的好书.适合任何阶段的c++程序员阅读.

创业必读,关于如何管理运营一家创业企业以打败同行对手脱颖而出.

论文中讨论了关于如何利用已有的机器学习算法来建模解决炉石传说中的博弈问题,其中还包含强化学习.

lightLDA的原始论文,介绍了关于分布式大话题模型的现代计算方法.

对flume 框架的java实现作出了相应的讨论和标准定义,如果想要重复造轮子的可以看看.

来源于cppcon里大牛关于cpp抽象数据结构的分享的ppt,较为完善.

关于计算机行业的部分数学知识,并不高深,但是有必要知道.