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摘要: how can I use NSubstitute for stub and mock? any difference about the usage? NSubstitute is a popular mocking library for .NET that allows you to crea 阅读全文
posted @ 2023-03-22 13:14 ChuckLu 阅读(26) 评论(0) 推荐(0)
摘要: np.arange vs np.linspace Both np.arange and np.linspace are used to create arrays with evenly spaced values, but they have different ways of specifyin 阅读全文
posted @ 2023-03-21 18:34 ChuckLu 阅读(18) 评论(0) 推荐(0)
摘要: To display this page, Firefox must send information that will repeat any action (such as a search or order confirmation) that was performed earlier. P 阅读全文
posted @ 2023-03-21 14:28 ChuckLu 阅读(68) 评论(0) 推荐(0)
摘要: explain the activation function in neural network with an actual case and demonstrate it in python code In a neural network, an activation function is 阅读全文
posted @ 2023-03-20 22:51 ChuckLu 阅读(29) 评论(0) 推荐(0)
摘要: 人工智能老照片无损修复, 利用2022年最先进人工智能 AI 将老照片无损高清修复(支持老照片修复、老照片上色和魔法动态照片) (jpghd.com) 阅读全文
posted @ 2023-03-20 18:58 ChuckLu 阅读(118) 评论(0) 推荐(0)
摘要: Cursor | Build Fast GPT-4 自动写代码 刚刚发布的 Cursor 编辑器集成了 GPT-4 接口,我测试了下他生成代码的能力,叹为观止,我尝试了从前端到后段,从纯软到软硬结合,从UE到Unity,各种语言甚至汇编或HSL,都能正确写出几乎能直接运行的代码 开发效率大提升!目前 阅读全文
posted @ 2023-03-20 10:11 ChuckLu 阅读(250) 评论(0) 推荐(0)
摘要: Is there a way to pass invoke function by method name in string, which means call the method by reflection Yes, you can use reflection in Python to in 阅读全文
posted @ 2023-03-19 14:48 ChuckLu 阅读(138) 评论(0) 推荐(0)
摘要: What's perceptron algorithm invented by Frank Rosenblatt? The perceptron algorithm is a supervised learning algorithm for binary classification of inp 阅读全文
posted @ 2023-03-19 14:14 ChuckLu 阅读(18) 评论(0) 推荐(0)
摘要: 深度学习入门 (豆瓣) What's element-wise in numpy? In numpy, element-wise operations refer to operations that are performed on corresponding elements of two or 阅读全文
posted @ 2023-03-19 02:27 ChuckLu 阅读(26) 评论(0) 推荐(0)
摘要: 云风的 BLOG: 学习神经网络的一点笔记 (codingnow.com) 一开始,我是从维基百科的 Machine learning 开始读的。顺着看了一整天,了解了近年发展的脉络。好多词条,乱七八糟的笔记记了一大堆,感觉快消化不了了。疑问也积累了很多,觉得看下去效率会越来越低。不如换一条路。 然 阅读全文
posted @ 2023-03-19 02:08 ChuckLu 阅读(81) 评论(0) 推荐(0)
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