Recurrent Neural Network 课程
Recurrent Neural Network（循环神经网络）课程可以帮助您学习序列预测、时间序列分析和自然语言处理技术。您可以掌握设计和训练 RNN Architecture、优化模型性能和实施长短期记忆（LSTM）网络的技能。许多课程介绍了 TensorFlow 和 Keras 等工具，这些工具支持开发需要处理序列数据的 AI 应用程序，使您能够在实际场景中应用所学知识。
热门递归神经网络课程和认证
状态：免费试用您将获得的技能: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, ChatGPT, Vision Transformer (ViT), Prompt Engineering, Artificial Intelligence, Artificial Neural Networks, Transfer Learning, Deep Learning, Natural Language Processing
状态：预览DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Classification Algorithms, Network Architecture
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Natural Language Processing, Model Evaluation, Data Preprocessing
您将获得的技能: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
Coursera
您将获得的技能: PyTorch（机器学习库）, 深度学习, Python 程序设计, 生成对抗网络 (GAN), 卷积神经网络, 图像分析
状态：免费试用DeepLearning.AI
您将获得的技能: 张力流, 自动编码器, 生成对抗网络 (GAN), 深度学习, 人工神经网络, 卷积神经网络, 生成式人工智能, 生成模型架构, 迁移学习, 图像分析
状态：免费试用DeepLearning.AI
您将获得的技能: 负责任的人工智能, PyTorch（机器学习库）, 信息隐私, 生成对抗网络 (GAN), 卷积神经网络, 生成式人工智能, 数据综合, 无监督学习, 数据伦理, 图像分析
状态：新状态：免费试用您将获得的技能: Large Language Modeling, Natural Language Processing, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning
状态：新状态：免费试用您将获得的技能: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
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
您将获得的技能: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms
总之，以下是 10 最受欢迎的 recurrent neural network 课程
- Attention Mechanisms and Transformer Models Course: Simplilearn
- 컨볼루션 신경망: DeepLearning.AI
- Advanced RNN Concepts and Projects: Packt
- Deep Learning with PyTorch : Siamese Network: Coursera
- Practical Deep Learning with Python: Edureka
- 使用 PyTorch 进行深度学习：生成对抗网络: Coursera
- 使用 TensorFlow 进行生成式深度学习: DeepLearning.AI
- 应用生成式对抗网络 (GAN): DeepLearning.AI
- Neural Models and Machine Translation: Edureka
- Deep Learning with ANN in Python: Build & Optimize: EDUCBA
