个结果，搜索词为 "generative adversarial networks (gans)"
状态：免费试用您将获得的技能: 原型设计, ChatGPT, 深度学习, 机器学习, 生成式人工智能, 人工智能和机器学习（AI/ML）
状态：免费试用DeepLearning.AI
您将获得的技能: 生成对抗网络 (GAN), 无监督学习, 数据伦理, 图像质量, 负责任的人工智能, 数据综合, 深度学习, 人工神经网络, 卷积神经网络, 机器学习, 生成模型架构, 模型评估, 生成式人工智能, 信息隐私, PyTorch（机器学习库）, 图像分析
状态：新Alberta Machine Intelligence Institute
您将获得的技能: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, Large Language Modeling, ChatGPT, OpenAI API, Open Source Technology, Responsible AI, Embeddings, Artificial Intelligence, Data Ethics, Natural Language Processing, Information Privacy
状态：新您将获得的技能: OpenAI API
状态：免费试用DeepLearning.AI
您将获得的技能: 生成对抗网络 (GAN), 数据伦理, 人工神经网络, 深度学习, 负责任的人工智能, 无监督学习, 生成模型架构, PyTorch（机器学习库）, 卷积神经网络, 图像分析
状态：免费试用University of Michigan
您将获得的技能: Responsible AI, Generative AI, Governance, Data Governance, Data Management, Compliance Management, Consumer Behaviour, AI Enablement, Social Impact, Business Risk Management, Business Operations, AI Product Strategy, Artificial Intelligence, Risk Analysis, Automation, Stakeholder Management, Operations, Human Resources, Leadership and Management, Risk Management
是什么让您今天来到 Coursera？
状态：新状态：免费试用Pearson
您将获得的技能: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Image Analysis, Model Evaluation, Autoencoders, Hugging Face, Computer Vision, Convolutional Neural Networks, Artificial Neural Networks, LLM Application, Natural Language Processing, Deep Learning, Embeddings, Tensorflow, Transfer Learning, Performance Tuning
状态：免费试用您将获得的技能: 数据管道, 生成对抗网络 (GAN), 人工智能, 大型语言模型, 拥抱的脸, 递归神经网络 (RNN), PyTorch（机器学习库）, 数据预处理, 生成模型架构, 自然语言处理, 生成式人工智能
状态：免费试用您将获得的技能: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
Coursera
您将获得的技能: 生成对抗网络 (GAN), Python 程序设计, 深度学习, 卷积神经网络, PyTorch（机器学习库）, 图像分析
状态：新状态：免费试用您将获得的技能: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Artificial Neural Networks, Deep Learning, Large Language Modeling, Tensorflow, Convolutional Neural Networks
总之，以下是 10 最受欢迎的 generative adversarial networks (gans) 课程
- 生成式人工智能：介绍与应用: IBM
- 生成对抗网络 (GAN): DeepLearning.AI
- Introduction to Generative AI: Concepts and Techniques: Alberta Machine Intelligence Institute
- How to Use ChatGPT and Generative AI to Help Create Content: Packt
- 构建基本的生成对抗网络 (GAN): DeepLearning.AI
- Responsible Generative AI: University of Michigan
- Programming Generative AI: Pearson
- 生成式人工智能和 LLM：架构和数据准备: IBM
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- 使用 PyTorch 进行深度学习：生成对抗网络: Coursera
