个结果，搜索词为 "autoencoders"
状态：免费试用您将获得的技能: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation
状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning
状态：免费试用您将获得的技能: 网络架构, 卷积神经网络, 模型评估, 自然语言处理, Keras（神经网络库）, 深度学习, 人工神经网络, 机器学习, 迁移学习, 回归分析, 分类与回归树 (CART), 图像分析, 递归神经网络 (RNN)
状态：免费试用IBM
您将获得的技能: Python 程序设计, 数据科学, 模型评估, LLM 申请, PySpark, 无监督学习, Keras（神经网络库）, 监督学习, Prompt Engineering, 机器学习, 迁移学习, PyTorch（机器学习库）, 生成式人工智能, 计算机视觉, Apache Spark, 检索-增强生成, 大型语言模型, 视觉转换器（ViT）, 矢量数据库, 生成模型架构
状态：免费试用DeepLearning.AI
您将获得的技能: 生成对抗网络 (GAN), 张力流, 人工神经网络, 卷积神经网络, 深度学习, 自动编码器, 生成式人工智能, 迁移学习, 生成模型架构, 图像分析
状态：免费DeepLearning.AI
您将获得的技能: Embeddings, Retrieval-Augmented Generation, Large Language Modeling, Semantic Web, Vector Databases, Natural Language Processing
是什么让您今天来到 Coursera？
Google Cloud
您将获得的技能: 张力流, Machine Learning 方法, Keras（神经网络库）, 人工神经网络, 模型部署, 生成模型架构, 递归神经网络 (RNN)
状态：新Alberta Machine Intelligence Institute
您将获得的技能: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Image Analysis, Embeddings, Autoencoders, Convolutional Neural Networks, Responsible AI, Computer Vision, Music, Recurrent Neural Networks (RNNs)
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra
状态：免费试用Microsoft
您将获得的技能: Generative AI, Microsoft Copilot, Generative Adversarial Networks (GANs), Natural Language Processing, Data Quality, Anomaly Detection, Data Storytelling, Technical Communication, Responsible AI, Data Visualization, Data Ethics, Data-Driven Decision-Making, Interactive Data Visualization, Data Pipelines, Data Cleansing, Data Visualization Software, Data Preprocessing, Data Science, Autoencoders, Critical Thinking
状态：免费试用University of Colorado Boulder
您将获得的技能: Python 程序设计, 生成对抗网络 (GAN), 无监督学习, 数据科学, 探索性数据分析, 决策树学习, Scikit-learn （机器学习库）, 模型评估, 机器学习, 卷积神经网络, Keras（神经网络库）, 深度学习, 人工神经网络, 分类算法, 自动编码器, 降维, 监督学习, 应用机器学习, 机器学习算法, 递归神经网络 (RNN)
状态：免费试用IBM
您将获得的技能: Python 程序设计, 生成对抗网络 (GAN), 数据科学, 数据清理, 探索性数据分析, 无监督学习, 机器学习, 卷积神经网络, 强化学习, 生成式人工智能, 自动编码器, 分类算法, 功能工程, 回归分析, 监督学习, 深度学习, 时间序列分析和预测, 降维, 人工智能和机器学习（AI/ML）, 递归神经网络 (RNN)
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 autoencoders 课程
- Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
- Generative AI Engineering with LLMs: IBM
- 使用 Keras 的深度学习和神经网络简介: IBM
- IBM 人工智能工程: IBM
- 使用 TensorFlow 进行生成式深度学习: DeepLearning.AI
- Embedding Models: From Architecture to Implementation: DeepLearning.AI
- 编码器-解码器结构: Google Cloud
- Generative AI for Audio and Images: Models and Applications: Alberta Machine Intelligence Institute
- Computer Vision: University of Colorado Boulder
- Generative AI for Data Scientists: Microsoft
