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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-sagemaker-complete-course-pytorch-tensorflow/
课程评论：没有评论
课程名称：AWS SageMaker 完整课程 PyTorch 和 Tensorflow 自然语言处理 - 2023 课程概述：本课程是 AWS SageMaker 的全面指南，学生将学习如何构建和部署 SageMaker 模型，包含将本地 Docker 容器集成到 SageMaker 中的过程。课程将深入探讨如何在 AWS SageMaker 环境中引入自定义算法，同时讲解如何使用预构建的优化 SageMaker 算法。课程还将详细介绍如何创建管道和工作流，以便模型能够自动重训练和调度。 本课程涵盖 AWS 认证机器学习专业（MLS-C01）的各个方面，并将帮助学生建立 Keras 中的 Transformer 框架，用于多类分类用例。还将介绍使用预训练模型（如 Bert）解决多类分类的问题。两个深度学习模型将被封装在本地机器上的 Docker 容器中，随后推送回 AWS ECR 存储库。 课程内容包括： - AWS 认证机器学习专业（MLS-C01） - SageMaker 的概念及必要性 - SageMaker 机器学习生命周期 - SageMaker 架构 - SageMaker 训练技术：从本地将自定义 docker 容器带入 SageMaker - 从本地引入自定义算法到 SageMaker - SageMaker 预构建算法 - SageMaker 管道开发 - 调度 SageMaker 训练笔记本 该课程提供超过 5 小时的内容，帮助初学者掌握 SageMaker 的所有基本知识，使其能熟练地在 SageMaker 中构建、训练和部署模型。
This course is complete guide of AWS SageMaker wherein student will learn how to build, deploy SageMaker models by brining on-premises docker container and integrate it to SageMaker. Course will also do deep drive on how to bring your own algorithms in AWS SageMaker Environment. Course will also explain how to use pre-built optimized SageMaker Algorithm.Course will also do deep drive how to create pipeline and workflow so model could be retrained and scheduled automatically.This course covers all aspect of AWS Certified Machine Learning Specialty (MLS-C01)This course will give you fair ideas of how to build Transformer framework in Keras for multi class classification use cases. Another way of solving multi class classification by using pre-trained model like Bert.Both the Deep learning model later encapsulated in Docker in local machine and then later push back to AWS ECR repository.This course offers:AWS Certified Machine Learning Specialty (MLS-C01)What is SageMaker and why it is requiredSageMaker Machine Learning lifecycleSageMaker ArchitectureSageMaker training techniques:Bring your own docker container from on premise to SageMakerBring your own algorithms from local machine to SageMakerSageMaker Pre built AlgorithmSageMaker Pipeline developmentSchedule the SageMaker Training notebookMore than 5 hour course are provided which helps beginners to excel in SageMaker and will be well versed with build, train and deploy the models in SageMaker
