个结果，搜索词为 "recurrent neural networks (rnns)"
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：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：免费试用您将获得的技能: 自然语言处理, 回归分析, 深度学习, 图像分析, Model Evaluation, Transfer Learning, 模型评估, 分类与回归树 (CART), 生成模型架构, 卷积神经网络, 递归神经网络 (RNN), Keras（神经网络库）, 迁移学习, 机器学习, 人工神经网络, 网络架构
状态：免费试用您将获得的技能: 回归分析, 逻辑回归, 张力流, Model Evaluation, 数据预处理, 模型评估, 人工神经网络, 统计方法, 概率与统计, PyTorch（机器学习库）
是什么让您今天来到 Coursera？
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：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DeepLearning.AI
您将获得的技能: 自然语言处理, 算法, Algorithm, 深度学习, 降维, 张力流, 统计机器学习, 分类算法, 马尔可夫模型, 功能工程, 嵌入, 文本挖掘, Transfer Learning, 迁移学习, 监督学习, 数据预处理, 递归神经网络 (RNN), Keras（神经网络库）, 人工神经网络, 应用机器学习, PyTorch（机器学习库）, 机器学习方法
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：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Coursera
您将获得的技能: Model Evaluation, Transfer Learning, 模型评估, 性能调整, 递归神经网络 (RNN), 迁移学习, 卷积神经网络
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
- Modern Deep Learning Foundations: Packt
- Advanced Deep Learning Architectures: Edureka
- 使用 Keras 的深度学习和神经网络简介: IBM
- 神经网络和 PyTorch 简介: IBM
- Deep Learning: Recurrent Neural Networks with Python: Packt
- Design and Build Custom Neural Networks: Coursera
- 自然语言处理: DeepLearning.AI
- Start Neural Networks Advanced Model Architectures: Coursera
