深度学习技能的相关内容

文章 2024-05-10 来自：开发者社区

通过阅读他人的代码是提高深度学习技能

通过阅读他人的代码是提高深度学习技能的一个非常有效的方法。下面是一些建议来帮助您通过阅读他人代码来提升自己的技能：选择合适的项目：选择与您的兴趣或当前学习目标相关的项目。这可以是一个著名的开源项目、一个教程示例或一个在GitHub上发现的有趣项目。理解整体结构：在深入细节之前，先尝试理解项目的整体结构和流程。这包括了解数据是如何加载和预处...

问答 2022-07-11 来自：开发者社区

深度学习get新技能：能分辨48种野生动物，准确率92%

本文来自AI新媒体量子位（QbitAI）春天来了，万物复苏。在坦桑尼亚西北部的塞伦盖蒂大草原上，计算机们正在履行它们的职责：用机器学习算法识别不同物种，追踪野生动物。以后的《动物世界》大概就是这样的了。怀俄明大学的Jeff Clune、Mohammed Sadegh Norouzzadeh和哈佛大学、牛津大学、明尼苏达大学的研究人员一起，训练深度学习系统区分了48种动物，包括大象...

共有3条

< 1 >

跳转至： GO

更新时间 2024-05-11 18:33:41

本页面内关键词为智能算法引擎基于机器学习所生成，如有任何问题，可在页面下方点击"联系我们"与我们沟通。

深度学习技能相关内容

技能深度学习

深度学习您可能感兴趣

产品推荐

{"optioninfo":{"dynamic":"ture","static":"true"},"simplifiedDisplay":"newEdition","newCard":[{"ifIcon":"img","link":"https://img.alicdn.com/tfs/TB1XY8hGYr1gK0jSZFDXXb9yVXa-1740-328.png","icon":"ModelScope 魔搭社区","iconImg":"https://img.alicdn.com/imgextra/i3/O1CN01WCQZsb1ICYCctdAi1_!!6000000000857-55-tps-240-240.svg","contentLink":"https://modelscope.cn","title":"ModelScope 魔搭社区","des":"为实现“模型即服务”理念，魔搭社区提供最新最热、开放开源的多领域预训练模型和优质数据集，让广大开发者无需写代码就能快速体验模型效果；同时提供抽象编程接口及SDK，对模型进行二次开发，真正让模型应用到不同的场景中。","link1":"https://modelscope.cn","btn1":"社区详情","link2":"https://modelscope.cn/docs","btn2":"文档中心","btn3":"","link3":"","infoGroup":[{"infoName":"立即体验","infoContent":{"firstContentName":"模型库","firstContentLink":"https://modelscope.cn/models","lastContentName":"数据集","lastContentLink":"https://modelscope.cn/datasets"}},{"infoName":"热门活动","infoContent":{"firstContentName":"社区 VIP 招募激励计划","firstContentLink":"https://modelscope.cn/activitys/kol"}}]}],"card":[],"search":[],"infoCard":[{"bannerUrl":"https://img.alicdn.com/imgextra/i3/O1CN01WCQZsb1ICYCctdAi1_!!6000000000857-55-tps-240-240.svg","bannerTitle":"智能计算灵骏","bannerContent":"智能计算灵骏是阿里云自主研发的新一代智能计算产品，提供深度优化的异构计算融合集群实例，满足人工智能、大数据、高性能计算等多种应用场景。","liveButtonName":"查看详情","liveButtonLink":"https://www.aliyun.com/product/ai/lingjun","contentTitle":"","homePageLink":"https://help.aliyun.com/document_detail/444430.html","homePageName":"产品文档","linkGroup":[]}],"title":{"mainTitle":"","subtitle":"","linkUrl":"","btnText":""},"visual":{"topbg":"https://img.alicdn.com/tfs/TB1bQuBIYH1gK0jSZFwXXc7aXXa-3840-740.gif","icon":"https://img.alicdn.com/imgextra/i3/O1CN01WCQZsb1ICYCctdAi1_!!6000000000857-55-tps-240-240.svg","textColor":"dark"},"dataList":[],"sceneCard":[],"txt":[]}

{"$env":{"JSON":{}},"$page":{"env":"production"},"$context":{"optioninfo":{"dynamic":"ture","static":"true"},"simplifiedDisplay":"newEdition","newCard":[{"ifIcon":"img","link":"https://img.alicdn.com/tfs/TB1XY8hGYr1gK0jSZFDXXb9yVXa-1740-328.png","icon":"ModelScope 魔搭社区","iconImg":"https://img.alicdn.com/imgextra/i3/O1CN01WCQZsb1ICYCctdAi1_!!6000000000857-55-tps-240-240.svg","contentLink":"https://modelscope.cn","title":"ModelScope 魔搭社区","des":"为实现“模型即服务”理念，魔搭社区提供最新最热、开放开源的多领域预训练模型和优质数据集，让广大开发者无需写代码就能快速体验模型效果；同时提供抽象编程接口及SDK，对模型进行二次开发，真正让模型应用到不同的场景中。","link1":"https://modelscope.cn","btn1":"社区详情","link2":"https://modelscope.cn/docs","btn2":"文档中心","btn3":"","link3":"","infoGroup":[{"infoName":"立即体验","infoContent":{"firstContentName":"模型库","firstContentLink":"https://modelscope.cn/models","lastContentName":"数据集","lastContentLink":"https://modelscope.cn/datasets"}},{"infoName":"热门活动","infoContent":{"firstContentName":"社区 VIP 招募激励计划","firstContentLink":"https://modelscope.cn/activitys/kol"}}]}],"card":[],"search":[],"infoCard":[{"bannerUrl":"https://img.alicdn.com/imgextra/i3/O1CN01WCQZsb1ICYCctdAi1_!!6000000000857-55-tps-240-240.svg","bannerTitle":"智能计算灵骏","bannerContent":"智能计算灵骏是阿里云自主研发的新一代智能计算产品，提供深度优化的异构计算融合集群实例，满足人工智能、大数据、高性能计算等多种应用场景。","liveButtonName":"查看详情","liveButtonLink":"https://www.aliyun.com/product/ai/lingjun","contentTitle":"","homePageLink":"https://help.aliyun.com/document_detail/444430.html","homePageName":"产品文档","linkGroup":[]}],"title":{"mainTitle":"","subtitle":"","linkUrl":"","btnText":""},"visual":{"topbg":"https://img.alicdn.com/tfs/TB1bQuBIYH1gK0jSZFwXXc7aXXa-3840-740.gif","icon":"https://img.alicdn.com/imgextra/i3/O1CN01WCQZsb1ICYCctdAi1_!!6000000000857-55-tps-240-240.svg","textColor":"dark"},"dataList":[],"sceneCard":[],"txt":[]}}