rosejn/cortex

support for selu activation function

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#181 建立於 2017年6月11日

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 (8 留言) (0 反應) (0 負責人)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

貢獻者指南

技術棧
無
領域
machine learningai
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
half day
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
Clojure familiaritySELU activation understandingCortex codebase structure
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
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.