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: Recurrent Neural Networks (RNNs), Transfer Learning, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Forecasting, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Analytics, Model Evaluation, Predictive Modeling
状态：新状态：免费试用DeepLearning.AI
您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Generative AI, Deep Learning, Transfer Learning, MLOps (Machine Learning Operations), Convolutional Neural Networks, Software Visualization, Model Evaluation, Computer Vision
状态：免费试用您将获得的技能: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation
状态：免费试用New York Institute of Finance
您将获得的技能: 时间序列分析和预测, 风险管理, 投资组合管理, 强化学习, 投资组合风险, 深度学习, 人工神经网络, 人工智能和机器学习（AI/ML）, 马尔可夫模型, 应用机器学习, 金融市场, 递归神经网络 (RNN), 金融交易
状态：新状态：预览Simplilearn
您将获得的技能: Reinforcement Learning, Artificial Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model
您将获得的技能: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms
状态：免费试用您将获得的技能: Convolutional Neural Networks, Deep Learning, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification Algorithms, Machine Learning, Supervised Learning, Data Processing, Linear Algebra
状态：免费试用University of Alberta
您将获得的技能: 抽样（统计）, 概率分布, 机器学习算法, 强化学习, 模拟, 机器学习, 人工智能和机器学习（AI/ML）, Algorithm
状态：免费试用您将获得的技能: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, ChatGPT, Vision Transformer (ViT), Prompt Engineering, Artificial Intelligence, Artificial Neural Networks, Transfer Learning, Deep Learning, Natural Language Processing
状态：新状态：免费试用您将获得的技能: Data Preprocessing, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Pandas (Python Package), NumPy
状态：免费试用DeepLearning.AI
您将获得的技能: 张力流, PyTorch（机器学习库）, 深度学习, 卷积神经网络, 人工神经网络, Keras（神经网络库）, 计算机视觉, 迁移学习, 数据预处理, 图像分析
状态：免费试用您将获得的技能: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
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
- Deep Learning with TensorFlow: Packt
- PyTorch: Advanced Architectures and Deployment: DeepLearning.AI
- Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
- 交易策略的强化学习: New York Institute of Finance
- Fundamental of Reinforcement Training : Simplilearn
- Deep Learning - Crash Course 2023: Packt
- NVIDIA: Fundamentals of Deep Learning: Whizlabs
- 基于样本的学习方法: University of Alberta
- Attention Mechanisms and Transformer Models Course: Simplilearn
- Deep Learning RNN & LSTM: Stock Price Prediction: EDUCBA
