超参数调优课程可以帮助您学习优化模型性能、理解过拟合和欠拟合以及应用交叉验证方法的技术。您可以掌握参数选择、Grid Search 和随机搜索策略方面的技能,从而提升您的机器学习项目。许多课程都会介绍 Scikit-learn、TensorFlow 和 Keras 等工具,展示如何在人工智能和 AI 应用中有效实施这些调整技术。

DeepLearning.AI
您将获得的技能: LLM Application, Fine-tuning, Test Data, Large Language Modeling, Prompt Engineering, Model Training, Model Evaluation, Transfer Learning, Generative AI Agents
中级 · 项目 · 不超过 2 小时
您将获得的技能: Token Optimization, LLM Application, Model Optimization, Prompt Engineering, Performance Tuning, Performance Testing, Tool Calling, Prompt Patterns, A/B Testing, Application Performance Management, Retrieval-Augmented Generation, Model Evaluation, Scalability, Data-Driven Decision-Making
中级 · 课程 · 1-4 周

Pragmatic AI Labs
您将获得的技能: Fine-tuning, Hugging Face, Model Training, Large Language Modeling, Transfer Learning, Rust (Programming Language), Data Validation, Model Optimization, Model Deployment, Generative AI, Verification And Validation, System Requirements, Model Evaluation, Generative Model Architectures, Hardware Architecture, Data Quality, Data Compilation
高级设置 · 课程 · 1-4 周

Coursera
您将获得的技能: 人工智能, 自然语言处理, 预测, 大型语言建模, 创新, 法学硕士申请, 业务分析, 人工智能个性化, 微调
初级 · 课程 · 1-4 周

您将获得的技能: API Design, MLOps (Machine Learning Operations), Restful API, Fine-tuning, OAuth, Model Deployment, Technical Communication, Model Training, Model Evaluation, Transfer Learning, Vision Transformer (ViT), Model Optimization, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Solution Architecture, Machine Learning, Data Architecture, Machine Learning Algorithms, Data Science
中级 · 课程 · 3-6 个月

您将获得的技能: Retrieval-Augmented Generation, Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, Fine-tuning, Model Evaluation, Context Engineering, LangChain, Token Optimization, Large Language Modeling, Hugging Face, Transfer Learning, Model Optimization, Model Deployment, Generative AI, LangGraph, Context Management, Vector Databases
中级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: 生成式人工智能, 模型优化, 模型评估, 生成模型架构, 模型部署, Python 编程, 大型语言建模, 机器学习, 可扩展性, 法学硕士申请, 强化学习, 微调, Model Evaluation, 模型培训
中级 · 课程 · 1-4 周

您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Model Optimization, Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Model Training, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
中级 · 专业证书 · 3-6 个月

多位教师
您将获得的技能: 负责任的人工智能, 监督学习, 模型评估, 迁移学习, 人工智能, 无监督学习, 数据伦理, 预测建模, 张力流, 深度学习, 分类算法, 机器学习, Jupyter, 应用机器学习, 决策树学习, Scikit Learn(机器学习库), NumPy, Model Evaluation, 机器学习方法, 机器学习算法, 模型培训, Transfer Learning
初级 · 专项课程 · 1-3 个月

您将获得的技能: PostgreSQL, Performance Tuning, Database Management, Google Cloud Platform, Database Software, SQL, Data Management, Application Performance Management, Data Analysis
初级 · 项目 · 不超过 2 小时

您将获得的技能: Prompt Engineering, Prompt Patterns, Data Wrangling, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Responsible AI, Vector Databases, Fine-tuning, Python Programming
初级 · 专业证书 · 3-6 个月

DeepLearning.AI
您将获得的技能: 生成式人工智能, 模型优化, 监督学习, 迁移学习, 人工智能, 嵌入, 拥抱的脸, 张力流, 深度学习, 计算机视觉, 大型语言建模, 自然语言处理, 人工神经网络, 应用机器学习, 递归神经网络 (RNN), 卷积神经网络, 图像分析, 人工智能和机器学习(AI/ML), 模型培训, 微调, Transfer Learning
攻读学位
中级 · 专项课程 · 3-6 个月