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：预览The State University of New York
您将获得的技能: 创造力, 协作, 批判性思维, 技术战略, 数字扫盲, 安全和安保, 新兴技术, 愿意学习, 成长意识, 沟通, 解决问题, 终身学习, 专业发展, 计算机扫盲, 网页内容无障碍指南, 数据伦理
您将获得的技能: Penetration Testing, Vulnerability Assessments, Network Analysis, Cyber Security Assessment, Virtual Machines, Virtual Environment, Open Source Technology, Malware Protection, Command-Line Interface, Software Installation, Microsoft Windows
状态：预览您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Data Governance, AI Workflows, Data Management, Predictive Modeling, Machine Learning, Model Evaluation, AI Orchestration, Data Pipelines, Performance Tuning
状态：免费试用您将获得的技能: CI/CD, Azure DevOps, Infrastructure as Code (IaC), Continuous Integration, Docker (Software), Microsoft Azure, DevOps, Application Deployment, GitHub, Continuous Deployment, Cloud Deployment, Containerization, Git (Version Control System), YAML, Secure Coding, Cloud Computing
状态：新状态：免费试用您将获得的技能: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity
状态：免费试用您将获得的技能: Generative AI, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Federated Learning, Scalability, Machine Learning, Distributed Computing, Model Evaluation, MLOps (Machine Learning Operations), Microsoft Azure, Information Privacy
状态：新状态：免费试用您将获得的技能: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
Commonwealth Education Trust
您将获得的技能: 问责制, 协作, 自我意识, 管理团队, 愿意学习, 终身学习, 专业精神, 专业发展, 道德标准与行为, 个人发展, 教学
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: Python 程序设计, Scikit-learn （机器学习库）, 决策树学习, 机器学习, 商业分析, 商业智能, 模型评估, 分类算法, 数据预处理, 预测建模, 无监督学习, 监督学习, 回归分析, 应用机器学习
状态：新状态：免费试用您将获得的技能: Predictive Modeling, Data Preprocessing, Data Visualization, Model Evaluation, Machine Learning Methods, Feature Engineering, Game Design, Data Science, Animation and Game Design
状态：预览您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Management, Application Lifecycle Management, DevOps, Model Evaluation, Cloud Deployment, AI Workflows, Continuous Deployment, Continuous Integration, Automation
状态：免费试用University of California, Irvine
您将获得的技能: 语言能力, 语言学习, 英语, 语法, 词汇
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
- 探索促进终身学习和成功的新兴技术: The State University of New York
- Digital Forensics for Pentesters - Hands-On Learning: Packt
- Machine Learning in the Enterprise - Português Brasileiro: Google Cloud
- Learning GitHub Actions for DevOps CI/CD: Packt
- Machine Learning Projects in R with Caret: EDUCBA
- Advanced AI and Machine Learning Techniques and Capstone: Microsoft
- Advanced Machine Learning with R: Apply & Predict: EDUCBA
- 为学习而教的基础成为专业人士: Commonwealth Education Trust
- 商业分析中的 Python 机器学习算法: University of Illinois Urbana-Champaign
- Game Development, Data Science, and Machine Learning: Packt
