问一下搞算法的大佬们一个面试问题
比如推导:
-
为什么前馈神经网络可以通过反向传播来优化模型效果?
-
L1 和 L2 正则化为什么能解决过拟合问题?
这些问题从数学上是有明确的推导流程的,你们面试的时候,
会要求使用数学公式进行推导吗?还是说知道在什么场景使用就行呢?
谢谢
比如推导:
为什么前馈神经网络可以通过反向传播来优化模型效果?
L1 和 L2 正则化为什么能解决过拟合问题?
这些问题从数学上是有明确的推导流程的,你们面试的时候,
会要求使用数学公式进行推导吗?还是说知道在什么场景使用就行呢?
谢谢
仓库地址: https://github.com/KamiC6238/ayanami
项目地址: https://ayanamiii.netlify.app/
大家要是觉得还不错,点个 star 将会是对我非常大的鼓励,提前谢谢大家了。
这个版本里面的输入法,一打开输入法就会有系统界面在最低下,是不是关闭不了??
60FPS 都很流畅,过內的魔改系统没法比啊。 话说本论坛没法加载图片吗
最近有海外客户问我有没有 WhatsApp ,我去下载后才发现这个软件好难注册,挂了梯子也不行,换了其他国家电话卡也不行,一直报“目前无法登录,出于安全考虑,我们目前无法让您登录”,有没有什么好的解决办法啊
Margaret Sibella Brown (1866–1961) was a Canadian amateur bryologist specializing in species native to Nova Scotia. Early in her career she was involved with gathering sphagnum moss to be used as surgical dressings during World War I, when cotton was in short supply. After the war, she researched mosses from around the world, publishing papers on materials she had collected herself as well as cataloging samples collected by others; her collections are now housed at major herbaria in North America and Europe. Born into upper-class society, Brown was educated in Nova Scotia and abroad. Although lacking formal scientific training, she has been recognized for her contributions to bryology and as an authority on the mosses and liverworts of Nova Scotia. At the age of 84, Brown was awarded an honorary MA degree from Acadia University after declining their offer of a PhD. She died at her home in Halifax aged 95 and in 2010 was posthumously inducted into the Nova Scotia Scientific Hall of Fame. (Full article...)
The Marvel Cinematic Universe (MCU) is an American media franchise and shared universe created by Marvel Studios. Beginning in 2008 with the release of the film Iron Man, the franchise has since expanded to encompass 36 total feature films and 13 television series produced by Marvel Studios, 12 television series from Marvel Television, and other media based on Marvel Comics characters. The franchise's most recent release is the film Thunderbolts*. Marvel Studios president Kevin Feige (pictured) oversees the main MCU productions. The MCU, similar to the original Marvel Universe, was established by crossing over common plot elements, features, cast members, and characters. It has been commercially successful, becoming one of the highest-grossing media franchises and the highest-grossing film franchise. This includes Avengers: Endgame, which concluded its theatrical run in 2019 as the highest-grossing film of all time. The franchise's success has influenced other studios to attempt similar shared universes. (Full list...)
Raising a Flag over the Reichstag (Russian: Знамя Победы над Рейхстагом, romanized: Znamya Pobedy nad Reykhstagom, lit. 'Victory Banner over the Reichstag') is an iconic World War II photograph, taken during the Battle of Berlin on 2 May 1945 by Yevgeny Khaldei. The photograph was reprinted in thousands of publications and came to be regarded around the world as one of the most significant and recognizable images of World War II, but, owing to the secrecy of Soviet media, both the identity of photographer and the identities of the men in the picture were often disputed.
The Reichstag was seen as symbolic of, and at the heart of, Nazi Germany. It was arguably the most symbolic target in Berlin. After its capture on 2 May 1945, Khaldei scaled the now pacified Reichstag to take a picture. He was carrying with him a large flag, sewn from three tablecloths for this very purpose, by his uncle. The official story would later be that two hand-picked soldiers, Meliton Kantaria (Georgian) and Mikhail Yegorov (Russian), raised the Soviet flag over the Reichstag, However, according to Khaldei himself, when he arrived at the Reichstag, he simply asked the soldiers who happened to be passing by to help with the staging of the photoshoot; the one who was attaching the flag was 18-year-old Private Kovalev from Burlin, Kazakhstan; the two others were Abdulkhakim Ismailov from Dagestan and Leonid Gorychev (also mentioned as Aleksei Goryachev) from Minsk.
Photograph credit: Yevgeny Khaldei for TASS; restored by Adam Cuerden
杭州在哪儿能遇见顶级的程序员?咖啡店?图书馆?创业沙龙?论坛?微信群?公众号?
小弟公司急需牛人加盟: https://www.v2ex.com/t/1128243 。
有这个需求是因为有时会把一台 linux 服务器(服务器 A)的硬盘全部拆下来装到另一台 linux 服务器(服务器 B )上临时使用(比如服务器 A 的有些硬件坏了要送去售后),又不想影响服务器 B 现有的功能,所以想到在服务器 B 上手动把服务器 A 的文件系统树 mount 到特定的目录,然后用特权 lxc 容器来运行服务器 A 的所有服务(直接指定特权 lxc 容器的 rootfs path 为自己手动挂载的服务器 A 的文件系统树),这种做法是可以做到服务器 A 的大部分服务都能在特权 lxc 容器内运行的(甚至包括用 libvirt 管理的虚拟机),但是服务器 A 上的用非特权 podman 运行的服务无法在特权 lxc 容器内运行,下面有个简单的例子:
d@server:~$ podman run -it --rm fedora:42
Error: crun: mount `proc` to `proc`: Operation not permitted: OCI permission denied
其实也不仅仅是 podman ,非特权的 docker 和非特权的 lxc 也都无法在特权 lxc 容器内运行。
估计很少有人有类似的需求,不过我确实很想这么用,自己研究大半天了没解决,希望有 v 友知道这个要怎么实现。
开年的时候把主玩游戏的台式机从10700+3080
升级到了7900x+5080
说有提升吧,确实有提升
但是实话实说,感知度真的挺一般的
这几天研究显示器,买了个miniled hdr1000
的新显示器
我原本玩游戏是用的一块 32 寸带鱼屏,120 刷新率,hdr400
新屏是 180 刷新率,hdr1000
刷新率和 hdr 的提升并没有让我有啥感知
但是这个 mililed 的显示效果真的感知度太强了
最明显的就是白和黑有了清晰的层次感
游戏里那些特别亮和特别黑的场景和特效一下子变得纤毫毕现
建议游戏党在性能够用的情况下没必要过度投入 cpu 和显卡
换个显示器的视觉提升超级大👍
对象说想打游戏,我个人是没和别人线下联机过。
想问一下这个游戏是什么情况。我现在已经买了游戏,同一台电脑能同时连接两个手柄,然后在同一个屏幕上供两个人一起玩这个游戏吗?
BeautyTestAI 是一个由 AI 颜值打分卡平台,通过上传照片来提供颜值评分和穿搭建议。
可以通过上传自己的照片,让 AI 给出打分并提供穿搭建议,支持多种风格选择。
虚拟信用卡,电话卡,银行账户等等。目前外面的银行只有 za bank 。很多地方不支持 hk 的付款方式,感觉菲律宾适合很多低价区。
先研究一下 YouTube premium 看看
手机和电脑是在同一个 WiFi 下的,安装完 ltsc 后开远控出了这个问题。
使用了 chatGPT 的解决方案后变得更严重了,有时候甚至在刚断开连接后马上再次连接也会提示
多坚持一下,代价就会大一些。
正确的做法是,发现错了马上改。
大家好,我是 4Zapi 的开发者,最近完成了这个专注于 AI API 中转服务的网站,想在这里和大家分享一下。
zzzzapi.com 是一个专业的 API 中转站,主要提供以下 AI 模型的 API 代理服务:
固定金额充值优惠
网站:zzzzapi.com
欢迎各位 V 友试用并提供宝贵意见!有任何问题也可以在评论区留言,我会及时回复。
#API 中转 #GPT #OpenAI #ChatGPT #Grok #Gemini