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
您将获得的技能: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning
状态：免费试用Duke University
您将获得的技能: 负责任的人工智能, MLOps（机器学习 Operator）, 数据管理, Data Management, NumPy, AWS SageMaker, 数据操作, 云部署, Python 程序设计, 数据分析, 拥抱的脸, 机器学习, 云计算, GitHub, 模型部署, 集装箱化, Devops, Pandas（Python 软件包）, 大数据, 探索性数据分析, 微软 Azure
您将获得的技能: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming
状态：预览Edge Impulse
您将获得的技能: 计算机编程, 深度学习, 嵌入式系统, 模型评估, 人工神经网络, 数字信号处理, 数据分析, 嵌入式软件, 机器学习, 卷积神经网络, 模型部署, 功能工程, 应用机器学习, 人工智能和机器学习（AI/ML）, 数据预处理, 数据伦理
状态：新状态：免费试用您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
状态：预览University of London
您将获得的技能: 人工智能, 模型评估, 数据分析, 机器学习, 分类算法, 数据收集, 数据预处理, 图像分析
状态：免费试用您将获得的技能: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability
您将获得的技能: Exploratory Data Analysis, Model Evaluation, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Matplotlib, Random Forest Algorithm, Machine Learning, Data Visualization, Decision Tree Learning, Artificial Neural Networks, Deep Learning, Python Programming
状态：免费试用University of Glasgow
您将获得的技能: Deep Learning, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Convolutional Neural Networks, Model Evaluation, Health Informatics, Electronic Medical Record, Data Cleansing, Feature Engineering, Time Series Analysis and Forecasting, Predictive Modeling, Classification Algorithms
状态：免费试用Imperial College London
您将获得的技能: 应用数学, 机器学习算法, Python 程序设计, 线性代数, Jupyter, NumPy, Algorithm
状态：预览UNSW Sydney (The University of New South Wales)
您将获得的技能: 规划, 教育软件和技术, 数字教学法, 数字扫盲, 学习管理系统, 技术交流, 教学, 内容管理, 技术战略
状态：免费试用HRCI
您将获得的技能: 计划评估, 编写培训材料, 专业发展, 成人教育, 员工培训, 劳动力发展, 在职培训, 合规培训, 学习风格, 需求评估, 员工参与, 培训计划, 培训与发展, 教学设计
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
- Sentiment Analysis with Deep Learning using BERT: Coursera
- MLOps | 机器学习运营: Duke University
- Mining Quality Prediction Using Machine & Deep Learning: Coursera
- 嵌入式机器学习简介: Edge Impulse
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- 全民机器学习: University of London
- Foundations of AI and Machine Learning: Microsoft
- Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
- Deep learning in Electronic Health Records - CDSS 2: University of Glasgow
- 数学在机器学习领域的应用：线性代数: Imperial College London
