筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
探索循环神经网络课程目录
状态：预览DeepLearning.AI
您将获得的技能: Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Algorithms, Data Processing
状态：免费试用您将获得的技能: 无监督学习, 强化学习, 人工智能和机器学习（AI/ML）, 人工智能, 人工神经网络, 生成式人工智能, 张力流, 性能调整, 深度学习, Keras（神经网络库）, 自然语言处理, Machine Learning 方法
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks
状态：预览Universidade de São Paulo
您将获得的技能: Natural Language Processing, Artificial Neural Networks, Tensorflow, Python Programming, Computational Thinking, Applied Machine Learning, Deep Learning, Text Mining
状态：免费试用Johns Hopkins University
您将获得的技能: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Machine Learning Methods, Data Ethics, Artificial Intelligence, Markov Model, Natural Language Processing
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Machine Learning, Performance Tuning, Machine Learning Algorithms, Python Programming, NumPy, Linear Algebra, Algorithms
状态：新状态：预览Simplilearn
您将获得的技能: Image Analysis, Keras (Neural Network Library), Computer Vision, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, PyTorch (Machine Learning Library), Python Programming
状态：免费试用DeepLearning.AI
您将获得的技能: 计算机视觉, 机器学习, 张力流, 人工神经网络, 人工智能, Keras（神经网络库）, 图像分析, 深度学习
University of Colorado Boulder
您将获得的技能: Large Language Modeling, Natural Language Processing, Prompt Engineering, LLM Application, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Generative AI, Network Architecture, Artificial Intelligence, Machine Learning Algorithms
状态：预览University of Glasgow
您将获得的技能: Prompt Engineering, 数据伦理, ChatGPT, 人工神经网络, LLM 申请, 生成模型架构, 人工智能, 负责任的人工智能, 风险管理框架, 大型语言模型, 深度学习, 生成式人工智能, 自然语言处理
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning Methods, Time Series Analysis and Forecasting, Algorithms
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 嵌入式系统, 计算机视觉, 移动开发, iOS 开发, 安卓开发, 张力流, Swift 编程, 应用机器学习, Machine Learning 方法
总之，以下是 10 最受欢迎的 recurrent neural network 课程
- 컨볼루션 신경망: DeepLearning.AI
- 使用 Keras 和 TensorFlow 进行深度学习: IBM
- Последовательные модели: DeepLearning.AI
- Processamento Neural de Linguagem Natural em Português I: Universidade de São Paulo
- Advanced Neural Network Techniques: Johns Hopkins University
- Réseaux neuronaux et Deep Learning: DeepLearning.AI
- Introduction to CNN Training: Simplilearn
- 用于人工智能、机器学习和深度学习的 TensorFlow 简介: DeepLearning.AI
- Deep Learning for Natural Language Processing: University of Colorado Boulder
- 生成式预训练变换器 (GPT): University of Glasgow
