变压器模型课程
Transformer 模型课程可以帮助您学习自然语言处理、注意机制和模型架构设计。您可以掌握针对特定任务对模型进行微调、理解 Tokenization 和优化性能指标的技能。许多课程介绍了 TensorFlow 和 PyTorch 等工具，这些工具支持在文本生成、翻译和情感分析等各种应用中实施和实验 Transformer 模型。
热门的变压器模型课程和认证
状态：免费试用DeepLearning.AI
您将获得的技能: 生成式人工智能, 大型语言模型, 人工智能和机器学习（AI/ML）, PyTorch（机器学习库）, 深度学习, 监督学习, 自然语言处理, 张力流, 人工神经网络
状态：免费试用您将获得的技能: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, Prompt Engineering, Artificial Neural Networks, Deep Learning, Natural Language Processing, Machine Learning Methods
Google Cloud
您将获得的技能: 大型语言模型, 生成模型架构, 自然语言处理, 人工神经网络
状态：新状态：免费试用您将获得的技能: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API
状态：新状态：免费试用您将获得的技能: Generative Model Architectures, Generative AI, OpenAI, ChatGPT, Deep Learning, Real Time Data, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Responsible AI, Artificial Neural Networks, Image Analysis, Applied Machine Learning, Computer Vision, Machine Learning Methods, Unsupervised Learning, Natural Language Processing
状态：免费试用您将获得的技能: 生成式人工智能, 大型语言模型, PyTorch（机器学习库）, 文本挖掘, 应用机器学习, 自然语言处理
是什么让您今天来到 Coursera？
状态：免费试用状态：人工智能技能您将获得的技能: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Statistical Modeling, Artificial Intelligence, Geospatial Information and Technology, Machine Learning, Regression Analysis, Data Pipelines, Network Architecture, Network Model
状态：免费试用Duke University
您将获得的技能: 阿帕奇气流, LLM 申请, 大型语言模型, AWS SageMaker, 生成模型架构, 数据库, 可扩展性, 生成式人工智能, ChatGPT, 性能分析, MLOps（机器学习 Operator）, 工作流程管理, Prompt Engineering, 数据库管理系统, 多模式 Prompt, 数据湖, 摘录, 性能调整, 亚马逊基岩, OpenAI
状态：免费试用Stanford University
您将获得的技能: 概率与统计, 图论, 概率分布, 机器学习, 贝叶斯网络, 非结构化数据, 抽样（统计）, 测试数据, 机器学习算法, 计算思维, 应用机器学习, 统计方法, 马尔可夫模型, 自然语言处理, 统计推理, 统计建模, Algorithm, 网络模型, 网络分析, 决策支持系统
状态：预览DeepLearning.AI
您将获得的技能: 生成式人工智能, 大型语言模型, 机器学习, 可扩展性, Python 程序设计, PyTorch（机器学习库）, 负责任的人工智能, 应用机器学习, Prompt Engineering, 自然语言处理, 强化学习, 性能调整
状态：免费DeepLearning.AI
您将获得的技能: Generative AI, Large Language Modeling, Semantic Web, Natural Language Processing, Unsupervised Learning, Text Mining
状态：新Alberta Machine Intelligence Institute
您将获得的技能: Generative AI, Generative Model Architectures, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Computer Vision, Creativity, Deep Learning, Music, Data Ethics
与 transformer models 相关的搜索
总之，以下是 10 最受欢迎的 transformer models 课程
- 序列模型: DeepLearning.AI
- Attention Mechanisms and Transformer Models Course: Simplilearn
- 变压器模型和 BERT 模型: Google Cloud
- Introduction to Transformer Models for NLP: Pearson
- Generative AI Models and Transformer Networks Certification: Simplilearn
- 用 Transformer 建立生成式 AI 语言模型: IBM
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Large Language Model Operations (LLMOps): Duke University
- 概率图形模型: Stanford University
- 采用大型语言模型的生成式 AI: DeepLearning.AI
