个结果，搜索词为 "recurrent neural networks (rnns)"
状态：新状态：免费试用您将获得的技能: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
状态：免费试用Johns Hopkins University
您将获得的技能: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
状态：新状态：免费试用您将获得的技能: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, Embeddings, Network Architecture, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 算法, 深度学习, 降维, 自然语言处理, 迁移学习, 数据预处理, 分类算法, 功能工程, 监督学习, 机器学习方法, 嵌入, 统计机器学习, 文本挖掘, 张力流, 马尔可夫模型, 人工神经网络, Keras（神经网络库）, 递归神经网络 (RNN), Algorithm, 应用机器学习, Transfer Learning
状态：免费试用DeepLearning.AI
您将获得的技能: 生成式人工智能, 生成式对抗网络（GANs）, 机器学习, 模型评估, PyTorch（机器学习库）, 深度学习, 卷积神经网络, 数据综合, 无监督学习, 负责任的人工智能, 数据伦理, 信息隐私, Model Evaluation, 图像质量, 生成模型架构, 人工神经网络, 图像分析
状态：免费试用您将获得的技能: 模型评估, 机器学习, 回归分析, 深度学习, 网络架构, 卷积神经网络, 分类与回归树 (CART), 自然语言处理, Model Evaluation, 迁移学习, Keras（神经网络库）, 递归神经网络 (RNN), 生成模型架构, 人工神经网络, 图像分析, Transfer Learning
是什么让您今天来到 Coursera？
状态：新状态：免费试用您将获得的技能: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
状态：免费试用您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Embeddings, Data Science
状态：免费试用您将获得的技能: 模型评估, 概率与统计, PyTorch（机器学习库）, 回归分析, 逻辑回归, 统计方法, 数据预处理, Model Evaluation, 张力流, 人工神经网络
状态：新状态：免费试用您将获得的技能: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Vision Transformer (ViT), Artificial Neural Networks, Transfer Learning, Model Deployment, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, PyTorch (Machine Learning Library), Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Artificial Intelligence
状态：新状态：免费试用您将获得的技能: Network Architecture, Artificial Neural Networks, Network Planning And Design, Performance Testing, Deep Learning
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
总之，以下是 10 最受欢迎的 recurrent neural networks (rnns) 课程
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- Foundations of Neural Networks: Johns Hopkins University
- Neural Networks and Computer Vision Foundations: Edureka
- 自然语言处理: DeepLearning.AI
- 生成式对抗网络（GANs）: DeepLearning.AI
- 使用 Keras 的深度学习和神经网络简介: IBM
- Start Neural Networks Advanced Model Architectures: Coursera
- Deep Learning: Recurrent Neural Networks with Python: Packt
- 神经网络和 PyTorch 简介: IBM
- Advanced Deep Learning Architectures: Edureka
