个结果，搜索词为 "生成式对抗网络（gans）"
状态：新状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 生成式人工智能, 生成对抗网络 (GAN), 信息隐私, 人工神经网络, 负责任的人工智能, 数据伦理, 生成模型架构, 图像质量, Model Evaluation, 数据综合, 卷积神经网络, 图像分析, 机器学习, 无监督学习, 深度学习
状态：免费试用状态：人工智能技能IBM
您将获得的技能: 生成式人工智能, 生成对抗网络 (GAN), AI 产品战略, 负责任的人工智能, 商业化, 产品战略, 产品开发, 生成模型架构, 产品管理, 产品路线图, 可用性测试, Prompt Engineering, 人工智能, 提示模式, 产品生命周期管理, 产品规划, 项目管理生命周期, ChatGPT, 新产品开发, 创新
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, OpenAI, 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：免费试用您将获得的技能: 生成式人工智能, 生成对抗网络 (GAN), 大型语言模型, 拥抱的脸, Prompt Engineering, IBM 云, 自然语言处理, OpenAI, 深度学习, 生成模型架构
状态：新状态：免费试用Google Cloud
您将获得的技能: Google Gemini, Prompt Engineering, Responsible AI, Generative AI Agents, Retrieval-Augmented Generation, Generative AI, Google Workspace, Google Cloud Platform, AI Enablement, AI Product Strategy, Gemini, AI Security, Large Language Modeling, AI Workflows, Data Ethics, LLM Application, Cloud Computing, Cloud Infrastructure, Artificial Intelligence, Collaboration
是什么让您今天来到 Coursera？
状态：免费试用IBM
您将获得的技能: 生成式人工智能, 拥抱的脸, 生成对抗网络 (GAN), AI 产品战略, 人工智能和机器学习（AI/ML）, Prompt Engineering, 负责任的人工智能, 大型语言模型, ChatGPT, 生成模型架构, 数据伦理, 领导与管理, IBM 云, AI 赋能, 实时数据, 提示模式, 法律风险, OpenAI, 商业道德, 业务领导
状态：新状态：免费试用您将获得的技能: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Microsoft Azure, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Model Evaluation, Tensorflow, Prototyping, Image Quality, Time Series Analysis and Forecasting, Forecasting
状态：新状态：免费试用Google Cloud
您将获得的技能: Prompt Engineering, Google Gemini, Generative AI Agents, Responsible AI, Retrieval-Augmented Generation, Generative AI, Google Workspace, AI Enablement, Google Cloud Platform, Customer experience improvement, Gemini, AI Product Strategy, AI Security, Productivity Software, AI Workflows, Agentic systems, Cloud Infrastructure, Cloud Computing, Artificial Intelligence, Collaboration
状态：新状态：免费试用Google Cloud
您将获得的技能: Prompt Engineering, Responsible AI, Generative AI Agents, Google Gemini, AI Security, Generative AI, Google Workspace, Retrieval-Augmented Generation, Gemini, AI Enablement, Google Cloud Platform, Large Language Modeling, AI Product Strategy, AI Workflows, Tool Calling, Unstructured Data, Productivity Software, Artificial Intelligence, Cloud Computing, Collaboration
状态：新状态：免费试用您将获得的技能: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, Multimodal Prompts, Responsible AI, Embeddings, Prompt Engineering, AI Security, Autoencoders, Vision Transformer (ViT), Model Deployment, Image Analysis
状态：免费试用University of Pennsylvania
您将获得的技能: 人力资源, 营销分析, 客户洞察, 客户分析, 描述性分析, 运行效率, 数据驱动的决策制定, 人力资源战略, 分析, 人力资本, 同行评审, 运筹学, 人力资源分析, 预测分析, 财务报表分析, 运行分析, 财务分析, 财务会计, 商业分析, 财务数据
总之，以下是 10 最受欢迎的 生成式对抗网络（gans） 课程
- Generative AI Fundamentals: Alberta Machine Intelligence Institute
- 生成对抗网络 (GAN): DeepLearning.AI
- IBM AI 产品经理: IBM
- Generative AI Models and Transformer Networks Certification: Simplilearn
- 生成式人工智能：基础模型和平台: IBM
- Generative AI Leader: Google Cloud
- 生成式人工智能基础: IBM
- Core generative models and techniques: Microsoft
- Generative AI Leader: Google Cloud
- Generative AI Leader 学習プログラム: Google Cloud
