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探索循环神经网络课程目录
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 人工智能, MLOps（机器学习 Operator）, PyTorch（机器学习库）, 人工智能和机器学习（AI/ML）, 监督学习, 数据驱动的决策制定, 文本挖掘, 计算机视觉, Python 程序设计, 应用机器学习, 人工神经网络, 调试, 图像分析, 性能调整, 自然语言处理, 功能工程, 深度学习, 张力流, Keras（神经网络库）
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 监督学习, 文本挖掘, 人工智能和机器学习（AI/ML）, 网络架构, 人工神经网络, 应用机器学习, 自然语言处理, 深度学习, 张力流
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, Algorithm, 人工智能, 线性代数, Machine Learning 方法, 监督学习, 人工智能和机器学习（AI/ML）, 机器学习算法, 数据处理, 降维, 人工神经网络, 功能工程, 概率与统计, 马尔可夫模型, 非结构化数据, 自然语言处理, 深度学习, 张力流, Keras（神经网络库）, 文本挖掘
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 时间序列分析和预测, Machine Learning 方法, 预测建模, 人工神经网络, 数据处理, 预测, 张力流, 深度学习, Keras（神经网络库）
状态：预览Sungkyunkwan University
您将获得的技能: Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Network Architecture, Network Model, Machine Learning
状态：新状态：免费试用您将获得的技能: Tensorflow, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Natural Language Processing, Computer Vision, Forecasting, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, Text Mining, Predictive Analytics, NumPy, Network Architecture, Data Processing, Data Science
是什么让您今天来到 Coursera？
Coursera Project Network
您将获得的技能: PyTorch（机器学习库）, Python 程序设计, 生成模型架构, 图像分析, 深度学习
状态：新状态：免费试用Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Generative AI, Artificial Neural Networks, Data Ethics, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting
状态：新状态：免费试用您将获得的技能: Natural Language Processing, Deep Learning, Large Language Modeling, Text Mining, Semantic Web, Generative AI, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Unsupervised Learning, Probability Distribution, Machine Learning Algorithms, Algorithms
状态：免费试用Johns Hopkins University
您将获得的技能: Responsible AI, Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Bayesian Statistics, Network Architecture, Linear Algebra, Markov Model
状态：新状态：免费试用您将获得的技能: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Data Processing
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Performance Tuning, Data Science, Data Processing, Data Analysis
总之，以下是 10 最受欢迎的 recurrent neural network 课程
- 深度学习: DeepLearning.AI
- 序列模型: DeepLearning.AI
- 自然语言处理: DeepLearning.AI
- 序列、时间序列和预测: DeepLearning.AI
- Fundamentals of CNNs and RNNs: Sungkyunkwan University
- Deep Learning with TensorFlow: Packt
- 使用 PyTorch 进行深度学习：生成对抗网络: Coursera Project Network
- Learning Deep Learning: Pearson
- Modern Natural Language Processing: Packt
- Foundations of Neural Networks: Johns Hopkins University
