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：免费试用您将获得的技能: Generative Model Architectures, Generative AI, Large Language Modeling, Vision Transformer (ViT), Artificial Neural Networks, Deep Learning, Recurrent Neural Networks (RNNs), Natural Language Processing
状态：免费试用您将获得的技能: Fine-tuning, Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Generative Model Architectures, LLM Application, Application Deployment, Model Training, Embeddings, Data Preprocessing
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, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Artificial Neural Networks, Transfer Learning, Unsupervised Learning, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Fine-tuning, Generative Model Architectures, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Logistic Regression
Google Cloud
您将获得的技能: 大型语言建模, 生成模型架构, 自然语言处理, Transfer Learning, 迁移学习
状态：免费试用DeepLearning.AI
您将获得的技能: 生成式人工智能, 嵌入, 数据预处理, 深度学习, 人工神经网络, 大型语言建模, 自然语言处理, 微调, Transfer Learning, 迁移学习, 递归神经网络 (RNN), 拥抱的脸
状态：免费试用您将获得的技能: 生成式人工智能, 嵌入, 生成模型架构, 大型语言建模, 模型优化, 数据预处理, 自然语言处理, 模型培训, Transfer Learning, 迁移学习, PyTorch（机器学习库）, 应用机器学习
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, Model Training, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing
状态：新状态：免费试用您将获得的技能: Data Preprocessing, Applied Machine Learning, Feature Engineering, Model Training, Machine Learning Methods, Digital Signal Processing, Model Deployment, Data Transformation, Data Pipelines, Data Manipulation, Data Processing, Data Wrangling
状态：新状态：免费试用您将获得的技能: Vision Transformer (ViT), Generative Model Architectures, Recurrent Neural Networks (RNNs), Embeddings, Large Language Modeling, Artificial Neural Networks, Software Architecture, Model Optimization, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Distributed Computing, Scalability, Unsupervised Learning, Computer Vision, Memory Management
状态：免费试用您将获得的技能: Vision Transformer (ViT), Model Deployment, Transfer Learning, Hugging Face, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Generative AI, Fine-tuning, Computer Vision, Image Analysis, Generative Model Architectures, Natural Language Processing, Application Deployment
状态：新状态：免费试用您将获得的技能: Model Optimization, Model Training, Data Pipelines
状态：新状态：免费试用Board Infinity
您将获得的技能: Generative AI, Large Language Modeling, Generative Model Architectures, Fine-tuning, LLM Application, Token Optimization, Hugging Face, Model Optimization, Model Training, Model Evaluation, Machine Learning, Data Science
总之，以下是 10 最受欢迎的 transformer models 课程
- Attention Mechanisms and Transformer Models Course: Simplilearn
- Introduction to Transformer Models for NLP: Pearson
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- 变压器模型和 BERT 模型: Google Cloud
- 序列模型: DeepLearning.AI
- 用 Transformer 建立生成式 AI 语言模型: IBM
- Generative AI Models and Transformer Networks Certification: Simplilearn
- Transform Audio: Extract Features & Augment Models: Coursera
- Transformer Architectures and Multimodal Models: Edureka
- Introduction to Transformer Models for NLP: Unit 3: Pearson
