个结果，搜索词为 "generative adversarial networks (gans)"
状态：免费试用DeepLearning.AI
您将获得的技能: 卷积神经网络, 数据伦理, 生成式人工智能, 图像质量, 生成对抗网络 (GAN), 人工神经网络, Model Evaluation, 信息隐私, 机器学习, 生成模型架构, 无监督学习, 数据综合, PyTorch（机器学习库）, 图像分析, 深度学习, 负责任的人工智能
状态：免费试用您将获得的技能: 生成式人工智能, 人工智能和机器学习（AI/ML）, ChatGPT, 增强现实与虚拟现实（AR/VR）, 机器学习, 深度学习
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：新您将获得的技能: OpenAI API, Generative AI, ChatGPT, Prompt Engineering, Artificial Intelligence, Natural Language Processing, Authentications, Application Programming Interface (API), Node.JS
状态：免费试用DeepLearning.AI
您将获得的技能: 数据伦理, 卷积神经网络, 生成对抗网络 (GAN), 人工神经网络, 生成模型架构, 无监督学习, PyTorch（机器学习库）, 图像分析, 深度学习, 负责任的人工智能
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
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：新您将获得的技能: Retrieval-Augmented Generation, Vector Databases, Agentic systems, AI Workflows, Hugging Face, CrewAI, Embeddings, Transfer Learning
Coursera
您将获得的技能: Python 程序设计, 卷积神经网络, 生成对抗网络 (GAN), 深度学习, 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
状态：预览Edureka
您将获得的技能: 生成对抗网络 (GAN), 生成式人工智能, 递归神经网络 (RNN), Model Evaluation, AI 赋能, 数据预处理
状态：新状态：免费试用您将获得的技能: Generative Model Architectures, Large Language Modeling, Generative AI, Model Evaluation, Model Deployment, Data Ethics, Data Validation, Data Cleansing, Data Quality, Image Quality, Data Preprocessing, AI Workflows, Dashboard, Transfer Learning, Text Mining, Open Source Technology, Image Analysis, Hugging Face, Data Collection, Cloud Computing
总之，以下是 10 最受欢迎的 generative adversarial networks (gans) 课程
- 生成对抗网络 (GAN): DeepLearning.AI
- 生成式人工智能：介绍与应用: IBM
- Generative AI Fundamentals: Alberta Machine Intelligence Institute
- Generative AI and ChatGPT - Quickstart with Examples: Packt
- 构建基本的生成对抗网络 (GAN): DeepLearning.AI
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- Programming Generative AI: Pearson
- Generative AI with Python: Packt
- 使用 PyTorch 进行深度学习：生成对抗网络: Coursera
- Programming Generative AI: Unit 1: Pearson
