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Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, AI Workflows, Data Preprocessing, Computing Platforms
您将获得的技能: Google Gemini, Generative AI, Google Cloud Platform, Customer Relationship Management, Predictive Modeling, SQL, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Model Evaluation, Python Programming
您将获得的技能: AI Security, Responsible AI, Information Privacy, Cloud Security, Google Cloud Platform, Data Security, Artificial Intelligence and Machine Learning (AI/ML), Data Governance, Identity and Access Management, Encryption
Google Cloud
您将获得的技能: Dataflow, Data Pipelines, Apache Kafka, Google Cloud Platform, Real Time Data, Extract, Transform, Load, Big Data, Software Architecture, Data Processing, Cloud Services, Artificial Intelligence and Machine Learning (AI/ML)
状态：新您将获得的技能: 3D Modeling, Visualization (Computer Graphics), Animation and Game Design, Design Elements And Principles, Creative Design
状态：新状态：免费试用Google Cloud
您将获得的技能: Google Gemini, Generative AI, Gemini, Responsible AI, Google Cloud Platform, AI Product Strategy, Data Governance, AI Enablement, AI Security, Cloud Infrastructure, Cloud Computing Architecture, Decision Making, LLM Application
状态：新状态：免费试用您将获得的技能: Role-Based Access Control (RBAC), Application Deployment, Cloud Deployment, Content Management Systems, Continuous Deployment, Web Development Tools, Restful API, Package and Software Management, Application Programming Interface (API), Node.JS, Server Administration, GitHub, Configuration Management, Systems Administration, UI Components
Google Cloud
您将获得的技能: Google Gemini, Google Cloud Platform, Big Data, Generative AI, Customer Relationship Management, Predictive Modeling, Advanced Analytics, Artificial Intelligence and Machine Learning (AI/ML), SQL, Prompt Engineering, Data Analysis, Python Programming
您将获得的技能: Responsible AI, Data Ethics, Google Cloud Platform, Artificial Intelligence, AI Security, Open Source Technology, Machine Learning Methods, Model Evaluation, Data Quality
状态：免费试用您将获得的技能: Data Management, Microsoft Azure, Real Time Data, Metadata Management, Data Architecture, Event-Driven Programming, Personally Identifiable Information, Operational Databases, Identity and Access Management, Power BI, Data Modeling, Security Controls, Role-Based Access Control (RBAC), Database Architecture and Administration, Analytics, Azure Active Directory, System Monitoring, Enterprise Architecture, Taxonomy, Hybrid Cloud Computing
您将获得的技能: Clinical Documentation, Quality Assurance, Anomaly Detection, AI Workflows, AI Enablement, Clinical Monitoring, Generative AI, AI Security, Microsoft Azure, Responsible AI, Healthcare Industry Knowledge, Health Care Procedure and Regulation, Health Informatics, Regulatory Compliance, Unstructured Data, Natural Language Processing, Continuous Monitoring, Speech Language Pathology, Real Time Data
- 状态：新
Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Preprocessing, Development Environment
总之，以下是 10 最受欢迎的 deep reinforcement learning 课程
- Utiliser des notebooks dans Vertex AI: Google Cloud
- Work with Gemini Models in BigQuery - Português Brasileiro: Google Cloud
- Responsible AI for Developers: Privacy & Safety - 简体中文: Google Cloud
- Google Cloud 에서 스트리밍 데이터 파이프라인 빌드하기: Google Cloud
- Material Fundamentals - Procedural Textures in Blender 4.4: Packt
- 생성형 AI: 환경 살펴보기: Google Cloud
- Strapi Plugin Development, Admin Customization, & Deployment: Packt
- Work with Gemini Models in BigQuery - 简体中文: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Deutsch: Google Cloud
- Microsoft Fabric: Data Governance, Security, and Analytics: Microsoft
