Attempting to Create a Pokédex: Pokémon Image Classification Using a Convolutional Neural Network
https://medium.com/@scheidlogan/creating-a-pok%C3%A9dex-pok%C3%A9mon-image-classification-using-a-convolutional-neural-network-ab2a0cb54d03
https://medium.com/@scheidlogan/creating-a-pok%C3%A9dex-pok%C3%A9mon-image-classification-using-a-convolutional-neural-network-ab2a0cb54d03
Medium
Attempting to Create a Pokédex: Pokémon Image Classification Using a Convolutional Neural Network
Convolutional neural networks (CNNs) are arguably the best and easily the most popular deep learning architecture used in image…
[Locust] WFH時要做效能測試怎麼辦?Locust, Docker, Kubernetes 大軍幫你萬箭齊發
https://medium.com/@weigo/locust-wfh%E6%99%82%E8%A6%81%E5%81%9A%E6%95%88%E8%83%BD%E6%B8%AC%E8%A9%A6%E6%80%8E%E9%BA%BC%E8%BE%A6-locust-docker-kubernetes-%E5%A4%A7%E8%BB%8D%E5%B9%AB%E4%BD%A0%E8%90%AC%E7%AE%AD%E9%BD%8A%E7%99%BC-1008a18b9b77
https://medium.com/@weigo/locust-wfh%E6%99%82%E8%A6%81%E5%81%9A%E6%95%88%E8%83%BD%E6%B8%AC%E8%A9%A6%E6%80%8E%E9%BA%BC%E8%BE%A6-locust-docker-kubernetes-%E5%A4%A7%E8%BB%8D%E5%B9%AB%E4%BD%A0%E8%90%AC%E7%AE%AD%E9%BD%8A%E7%99%BC-1008a18b9b77
Medium
[Locust] WFH時要做效能測試怎麼辦?Locust, Docker, Kubernetes 大軍幫你萬箭齊發
Covid-19 疫情爆發,很多企業紛紛採取WFH(在家工作)的模式,可是有些工作任務很難用家中的環境達成,包含了效能測試部分,那我們該怎麼建置有效的效能測試呢?
Machine Learning-交叉驗證(Cross Validation)-找到KNN中適合的K值-Scikit Learn一步一步實作教學
https://chwang12341.medium.com/machine-learning-%E4%BA%A4%E5%8F%89%E9%A9%97%E8%AD%89-cross-validation-%E6%89%BE%E5%88%B0knn%E4%B8%AD%E9%81%A9%E5%90%88%E7%9A%84k%E5%80%BC-scikit-learn%E4%B8%80%E6%AD%A5%E4%B8%80%E6%AD%A5%E5%AF%A6%E4%BD%9C%E6%95%99%E5%AD%B8-4109bf470340
https://chwang12341.medium.com/machine-learning-%E4%BA%A4%E5%8F%89%E9%A9%97%E8%AD%89-cross-validation-%E6%89%BE%E5%88%B0knn%E4%B8%AD%E9%81%A9%E5%90%88%E7%9A%84k%E5%80%BC-scikit-learn%E4%B8%80%E6%AD%A5%E4%B8%80%E6%AD%A5%E5%AF%A6%E4%BD%9C%E6%95%99%E5%AD%B8-4109bf470340
Medium
Machine Learning-交叉驗證(Cross Validation)-找到KNN中適合的K值-Scikit Learn一步一步實作教學
Github完整程式碼
Backtest Moving Average Trading Strategies with a Streamlit App
https://mcklayne.medium.com/backtest-moving-average-trading-strategies-with-a-streamlit-app-935972a56138
https://mcklayne.medium.com/backtest-moving-average-trading-strategies-with-a-streamlit-app-935972a56138
Medium
Backtest Moving Average Trading Strategies with a Streamlit App
Building a web app to research stock trades based on moving average signals
Identifying Exoplanets using Multiple Classification Models
https://medium.com/@scheidlogan/identifying-exoplanets-using-multiple-classification-models-7ee48024d7fd
https://medium.com/@scheidlogan/identifying-exoplanets-using-multiple-classification-models-7ee48024d7fd
Medium
Identifying Exoplanets using Multiple Classification Models
Source Code: https://github.com/djquigon/exoplanet-identification
Python - 对象赋值、浅拷贝、深拷贝的区别 - 小菠萝测试笔记
http://www.cnblogs.com/poloyy/p/15084277.html#at?hmsr=toutiao.io&utm_campaign=toutiao.io&utm_medium=toutiao.io&utm_source=toutiao.io
http://www.cnblogs.com/poloyy/p/15084277.html#at?hmsr=toutiao.io&utm_campaign=toutiao.io&utm_medium=toutiao.io&utm_source=toutiao.io
Cnblogs
Python - 对象赋值、浅拷贝、深拷贝的区别 - 小菠萝测试笔记 - 博客园
前言 Python 中不存在值传递,一切传递的都是对象的引用,也可以认为是传址 这里会讲三个概念:对象赋值、浅拷贝、深拷贝 名词解释 变量:存储对象的引用 对象:会被分配一块内存,存储实际的数据,比如