深度强化学习课程
Deep Reinforcement Learning 课程可以帮助您学习强化学习、神经网络和策略梯度的原理。您可以掌握算法设计、奖励优化和环境模拟方面的技能。许多课程介绍了 TensorFlow 和 PyTorch 等工具，这些工具支持实现 AI 模型，以及在复杂环境中训练代理的技术。
热门 Deep Learning 课程和认证
状态：新状态：免费试用您将获得的技能: OpenAI API, Generative Model Architectures, Hugging Face, Programming Principles, Computer Programming, Software Installation
状态：新状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics
状态：预览Deep Teaching Solutions
状态：免费试用University of California, Irvine
您将获得的技能: 物联网, Linux, 需求分析, TCP/IP, Network Protocol（网络协议, 嵌入式系统, Python 程序设计, 用户需求文件, 操作系统, 功能要求, 基本电气系统, 调试, 系统设计, 电子产品, 嵌入式软件, 自动化工程, Operating System 管理, 电子元件, 应用编程接口 (API), 测试计划
状态：新状态：免费试用您将获得的技能: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis
状态：新状态：免费试用您将获得的技能: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Performance Testing, Tree Maps, Benchmarking, Graph Theory, Program Implementation
状态：预览UNSW Sydney (The University of New South Wales)
您将获得的技能: 机器学习, 概率与统计, 分类算法, 计算机视觉, Machine Learning 方法, 降维, 人工神经网络, 深度学习, 卷积神经网络, 功能工程, 无监督学习, 地理空间信息与技术, 监督学习, 图像分析, 空间分析
状态：免费试用Saïd Business School, University of Oxford
您将获得的技能: Responsible AI, Artificial Neural Networks, Artificial Intelligence, AI Product Strategy, Generative AI, Deep Learning, Machine Learning, Convolutional Neural Networks, Supervised Learning, Reinforcement Learning, Unsupervised Learning
状态：新状态：免费试用Microsoft
您将获得的技能: Generative AI, Generative Model Architectures, Prompt Engineering, Responsible AI, Generative Adversarial Networks (GANs), MLOps (Machine Learning Operations), AI Security, Multimodal Prompts, Data Ethics, AI Workflows, Microsoft Azure, ChatGPT, AI Orchestration, Azure DevOps, Model Deployment, AI Enablement, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Application Lifecycle Management, Python Programming
状态：新状态：免费试用您将获得的技能: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering
状态：免费试用University of Michigan
您将获得的技能: 计算机编程, 数据结构, Python 程序设计, 计划发展, 计算机图形学, 调试, 图表设计, 编程原则
状态：免费试用University of California San Diego
您将获得的技能: Apache Hadoop, 图论, 数据建模, 分类算法, 数据管理, Data Management, 回归分析, 可扩展性, 大数据, 数据库设计, 数据展示, 模型评估, Apache Spark, 数据管道, 数据整合, 应用机器学习, 数据挖掘, MongoDB, 数据预处理, 数据处理, 探索性数据分析
与 deep reinforcement learning 相关的搜索
总之，以下是 10 最受欢迎的 deep reinforcement learning 课程
- Foundations of AI, LLMs, and Development Environments: Packt
- Generative AI Fundamentals: Alberta Machine Intelligence Institute
- تعّلم كيف تتعلم: أدوات ذهنية قوية لمساعدتك على إتقان موضوعات صعبة: Deep Teaching Solutions
- 物联网 (IOT) 编程入门: University of California, Irvine
- Automate, Validate, and Promote ML Models Safely: Coursera
- Choose Optimal Data Structures for ML: Coursera
- 遥感图像采集、分析和应用: UNSW Sydney (The University of New South Wales)
- AI Essentials : Saïd Business School, University of Oxford
- Microsoft Generative AI Engineering: Microsoft
- Traverse Trees for ML with DFS & BFS: Coursera
