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：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
您将获得的技能: Large Language Modeling, Deep Learning, Data Preprocessing, Keras (Neural Network Library), Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Natural Language Processing
状态：免费试用您将获得的技能: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib
状态：免费试用IBM
您将获得的技能: 数据分析, 回归分析, 生成对抗网络 (GAN), 无监督学习, Python 程序设计, 降维, 深度学习, 时间序列分析和预测, 统计方法, 卷积神经网络, 强化学习, 分类算法, 递归神经网络 (RNN), 功能工程, 机器学习, 数据科学, 探索性数据分析, 监督学习, 自动编码器, 数据预处理
状态：免费试用University of Washington
您将获得的技能: 统计建模, 计算机视觉, 回归分析, 模型评估, 贝叶斯统计, 决策树学习, 无监督学习, 深度学习, 分类算法, 逻辑回归, 机器学习, 预测建模, 功能工程, 数据挖掘, 监督学习, 应用机器学习, 人工智能, 图像分析, 数据预处理, 统计机器学习
状态：免费试用多位教师
您将获得的技能: 决策树学习, 无监督学习, 深度学习, 模型评估, Scikit-learn （机器学习库）, 强化学习, 机器学习, 分类算法, Jupyter, 预测建模, 监督学习, NumPy, 随机森林算法, 功能工程, 数据伦理, 迁移学习, 张力流, 应用机器学习, 人工智能, 数据预处理
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 卷积神经网络, 模型评估, 生成对抗网络 (GAN), 健康信息管理, 大数据, Machine Learning 方法, 递归神经网络 (RNN), 健康信息学, 医疗保健项目管理, 医疗保健, 机器学习, 深度学习, 模型部署, 嵌入, 图论, 监督学习, 应用机器学习, 自动编码器, 人工神经网络, 图像分析
状态：预览O.P. Jindal Global University
您将获得的技能: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis
您将获得的技能: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Python Programming
状态：免费试用University of Pennsylvania
您将获得的技能: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Machine Learning, Artificial Intelligence
状态：新您将获得的技能: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Tensorflow, Classification Algorithms, Model Evaluation
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
- Recommender Systems Complete Course Beginner to Advanced: Packt
- Natural Language Processing - Deep Learning Models in Python: Packt
- Advanced Chatbots with Deep Learning and Python: Packt
- Recommender Systems: An Applied Approach using Deep Learning: Packt
- IBM 机器学习: IBM
- 机器学习: University of Washington
- 机器学习: DeepLearning.AI
- 医疗保健领域的深度学习: University of Illinois Urbana-Champaign
- Machine Learning: O.P. Jindal Global University
- Deep Learning with PyTorch : Image Segmentation : Coursera
