rosejn/cortex

support for selu activation function

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#181 创建于 2017年6月11日

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 (8 评论) (0 反应) (0 负责人)Clojure (1,269 star) (109 fork)batch import
enhancementharderhelp wanted

描述

Ran into an interesting discussion on hackers' news on an activation function that seems to work well, even with deeper fully connected networks. See comparison and paper here, and discussion at reddit and HN.

https://github.com/shaohua0116/Activation-Visualization-Histogram

https://www.reddit.com/r/MachineLearning/comments/6g5tg1/r_selfnormalizing_neural_networks_improved_elu/ https://news.ycombinator.com/item?id=14527686

贡献者指南

技术栈
无
领域
machine learningai
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
half day
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
mostly clear
前置要求
Clojure familiaritySELU activation understandingCortex codebase structure
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
60
研究方向
Look into the cortex repository's activation function implementations, likely in the `cortex/nn/activation.clj` file. Study how existing activations like ReLU or tanh are defined. Implement the SELU function following the same pattern, referencing the paper and code from other libraries. Add unit tests to verify correctness.