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: 计算机视觉, 机器学习, 模型部署, 嵌入式系统, iOS 开发, 安卓开发, Swift 编程, 应用机器学习, 张力流, 移动开发
状态：免费试用DeepLearning.AI
您将获得的技能: 卷积神经网络, 计算机视觉, 机器学习, 数据转换, 模型部署, 实时数据, 人工神经网络, JSON, 迁移学习, 应用机器学习, Javascript, 网络应用, 图像分析, 数据处理, 张力流
状态：免费试用DeepLearning.AI
您将获得的技能: 卷积神经网络, 深度学习, 模型评估, 人工神经网络, 张力流, 迁移学习, Keras（神经网络库）
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：免费试用您将获得的技能: 3D Modeling, 3D Assets, Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, Virtual Environment
您将获得的技能: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming
状态：免费试用University of California, Santa Cruz
您将获得的技能: 概率与统计, 统计建模, 概率分布, R 语言程序设计（中文版）, 贝叶斯统计, 分类算法, Machine Learning 方法, 马尔可夫模型, 统计方法, 数学建模, 统计软件, 无监督学习
状态：免费试用Johns Hopkins University
您将获得的技能: 概率与统计, 统计建模, 概率分布, R 语言程序设计（中文版）, 数据科学, 应用数学, 统计推理, 数学建模, 线性代数, 统计分析, 回归分析
您将获得的技能: Google Cloud Platform, Model Deployment, Tensorflow, Kubernetes, Scalability, Cloud Deployment, Image Analysis, Applied Machine Learning, Cloud Computing, MLOps (Machine Learning Operations), Convolutional Neural Networks, Cloud Management, Cloud Storage, Data Management
状态：免费DeepLearning.AI
您将获得的技能: Hugging Face, LLM Application, Generative AI, Model Deployment, Cloud Deployment, Natural Language Processing, Large Language Modeling, Applied Machine Learning, User Interface (UI), API Design, Computer Vision
状态：免费DeepLearning.AI
您将获得的技能: 生成式人工智能, 模型部署, 迁移学习, 大型语言模型, 拥抱的脸, 性能调整
Google Cloud
您将获得的技能: Cloud Computing, Model Deployment, Cloud Deployment, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Continuous Deployment, Microservices, Load Balancing
总之，以下是 10 最受欢迎的 transformer models 课程
- 基于设备的 TensorFlow Lite 模型: DeepLearning.AI
- 基于浏览器的 TensorFlow.js 模型: DeepLearning.AI
- 使用 TensorFlow 定制模型、层和损失函数: DeepLearning.AI
- Neural Models and Machine Translation: Edureka
- Blender Essentials for 3D Plant and Vegetation Modeling: Packt
- Optimize TensorFlow Models For Deployment with TensorRT: Coursera
- 贝叶斯统计：混合模型: University of California, Santa Cruz
- 数据科学高级线性模型 2：统计线性模型: Johns Hopkins University
- Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
- Open Source Models with Hugging Face: DeepLearning.AI
