个结果，搜索词为 "recurrent neural networks (rnns)"
状态：免费试用您将获得的技能: 卷积神经网络, 深度学习, Keras（神经网络库）, 递归神经网络 (RNN), 分类与回归树 (CART), 机器学习, 迁移学习, 自然语言处理, 人工神经网络, 图像分析, 模型评估, 网络架构, 回归分析
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：免费试用您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
状态：免费试用您将获得的技能: 概率与统计, 深度学习, PyTorch（机器学习库）, 数据预处理, 分类算法, 人工神经网络, Machine Learning 方法, 预测建模, 回归分析, 张力流, 逻辑回归, 模型评估
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 深度学习, 监督学习, 分类算法, Machine Learning 方法, 数据预处理, Algorithm, 统计机器学习, 嵌入, 人工神经网络, 马尔可夫模型, 迁移学习, Keras（神经网络库）, 递归神经网络 (RNN), 功能工程, 张力流, 降维, 应用机器学习, 自然语言处理, 文本挖掘
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
是什么让您今天来到 Coursera？
状态：新状态：免费试用Dartmouth College
您将获得的技能: Bayesian Network, Artificial Neural Networks, Convolutional Neural Networks, Deep Learning, Tensorflow, Machine Learning, Model Evaluation, Network Architecture, Algorithms, Probability Distribution
状态：新状态：预览您将获得的技能: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation
状态：新状态：免费试用您将获得的技能: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, Multimodal Prompts, Responsible AI, Embeddings, Prompt Engineering, AI Security, Autoencoders, Vision Transformer (ViT), Model Deployment, Image Analysis
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, Data Science, Model Evaluation
状态：免费试用您将获得的技能: PyTorch（机器学习库）, 数据预处理, 数据管道, 递归神经网络 (RNN), 生成式人工智能, 拥抱的脸, 生成模型架构, 人工智能, 生成对抗网络 (GAN), 大型语言模型, 自然语言处理
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing
总之，以下是 10 最受欢迎的 recurrent neural networks (rnns) 课程
- 使用 Keras 的深度学习和神经网络简介: IBM
- Foundations of Neural Networks: Johns Hopkins University
- AI ML with Deep Learning and Supervised Models: Simplilearn
- 神经网络和 PyTorch 简介: IBM
- 自然语言处理: DeepLearning.AI
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- Machine Learning with Neural Networks: Dartmouth College
- Deep Learning: Build & Optimize Neural Networks: EDUCBA
- Generative AI and Large Language Models: Coursera
- Deep Learning: Recurrent Neural Networks with Python: Packt
