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: 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：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：免费试用您将获得的技能: 卷积神经网络, 迁移学习, Keras（神经网络库）, 模型评估, 回归分析, 机器学习, 自然语言处理, 递归神经网络 (RNN), 深度学习, 人工神经网络, 分类与回归树 (CART), 图像分析, 网络架构
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DeepLearning.AI
您将获得的技能: 卷积神经网络, 迁移学习, 数据预处理, 人工智能和机器学习（AI/ML）, 计算机视觉, 监督学习, PyTorch（机器学习库）, 拥抱的脸, 调试, Keras（神经网络库）, 机器学习, 应用机器学习, 递归神经网络 (RNN), 性能调整, 深度学习, 张力流, 人工神经网络, 自然语言处理, 嵌入, 图像分析
状态：免费试用DeepLearning.AI
您将获得的技能: 迁移学习, 分类算法, 数据预处理, 监督学习, Algorithm, Machine Learning 方法, 功能工程, 文本挖掘, 降维, 马尔可夫模型, PyTorch（机器学习库）, Keras（神经网络库）, 统计机器学习, 深度学习, 应用机器学习, 递归神经网络 (RNN), 自然语言处理, 张力流, 人工神经网络, 嵌入
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: 概率与统计, 分类算法, Machine Learning 方法, 回归分析, 模型评估, 逻辑回归, PyTorch（机器学习库）, 数据预处理, 预测建模, 张力流, 深度学习, 人工神经网络
状态：新状态：免费试用您将获得的技能: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Tensorflow, Google Cloud Platform, Matplotlib
状态：新状态：预览Northeastern University
您将获得的技能: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Embeddings, Deep Learning, Applied Machine Learning, Markov Model
状态：免费试用DeepLearning.AI
您将获得的技能: 生成式人工智能, 生成对抗网络 (GAN), 卷积神经网络, 负责任的人工智能, 数据伦理, 模型评估, 信息隐私, 无监督学习, 机器学习, PyTorch（机器学习库）, 数据综合, 深度学习, 图像质量, 人工神经网络, 生成模型架构, 图像分析
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: Model Evaluation, Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Data Preprocessing, Deep Learning, Computer Vision, Tensorflow, Python Programming, Cloud Computing, Development Environment
总之，以下是 10 最受欢迎的 recurrent neural networks (rnns) 课程
- Deep Learning RNN & LSTM: Stock Price Prediction: EDUCBA
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- 使用 Keras 的深度学习和神经网络简介: IBM
- Foundations of Neural Networks: Johns Hopkins University
- 深度学习: DeepLearning.AI
- 自然语言处理: DeepLearning.AI
- 神经网络和 PyTorch 简介: IBM
- Sentiment Analysis with RNNs in Keras: EDUCBA
- Applied Natural Language Processing in Engineering Part 2: Northeastern University
- 生成对抗网络 (GAN): DeepLearning.AI
