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腾讯云 TI 平台（Tencent Cloud TI Platform）是为 AI 工程师打造的一站式机器学习服务平台，为用户提供从数据预处理、模型构建、模型训练、模型评估到模型服务的全流程开发支持。腾讯云 TI 平台内置丰富的算法组件，支持多种算法框架，满足多种AI应用场景的需求。
腾讯云 TI 平台为用户提供“一站式”的机器学习平台体验，从数据预处理、模型构建、模型训练到模型评估，覆盖全工作流程，形成机器学习训练的完整闭环。
腾讯云 TI 平台即可自动完成建模的全流程，无基础的 AI 初学者也可毫无障碍的完成整个训练流程。自动调参工具也可大幅提升 AI 工程师的调参效率。
腾讯云 TI 平台支持多种的 CPU/GPU 资源，符合用户对差异化算力的场景需求。采用灵活的计费方式，真正帮助用户降本增效。
腾讯云 TI 平台囊括多种学习框架：PySpark、Spark、PyTorch、Tensorflow 等，满足不同开发者的使用需求与习惯。
腾讯云 TI 平台内置模型服务模块，支持虚拟化异构算力和弹性扩缩容能力，支持部署多种模型格式、支持服务流量分配与滚动更新，以支撑在线推理场景中的多元应用诉求。
腾讯云 TI 平台支持四种实例调度方式：手工、定时、批量参数和重跑，能方便用户在各场景需求下灵活调度的需求，降低手工调度的次数与时间成本。
面向专业用户的交互式代码开发环境，内置多种学习框架，支持Python、R，通过 TI-SDK 和平台功能打通，提供实时资源监控，并支持 git 进行代码管理。
腾讯云 TI 平台支持创建与管理文本、图片、表格等多种格式数据类型的集合，在线即可对数据内容进行详情预览并进行数据源标注，一站式完成机器学习数据准备。支持导入已标注的图片数据，兼容业内通用Pascal Voc、COCO格式，标注信息拥有分布统计与可视化展示能力。
腾讯云 TI 平台对源数据的强大可视化交互数据解析，让用户高效直观地了解数据的全貌。且模型训练效果直接悬浮呈现，用户无需点击即可直观方便地辨别模型的质量，判断优化方案。
传统的工业质检依赖大量人力，成本高且漏检率难以提升。腾讯云 TI 平台基于设备参数与生产图像对产品进行缺陷检测与缺陷分类，大大降低人力成本、提升缺陷检出率的同时帮助企业进行质量控制数字化管理。
随着行业的兴起，各类 AI 算法大赛不断，如何提供满足各参赛队伍的使用习惯的工具，同时又能支撑数千人的高并发一直是各举办单位的痛点，腾讯云 TI 平台内置的丰富算法与框架组件满足不同用户的使用习惯，高性能集群稳定性可以支持大批量的训练任务。
腾讯云 TI 平台产品收费为后付费模式，详细定价内容可前往定价文档查看。
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