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DeepLearning.AI
您将获得的技能: 卷积神经网络, Transfer Learning, 自动编码器, 人工神经网络, 生成式人工智能, 张力流, 生成模型架构, 深度学习, 图像分析, 生成对抗网络 (GAN)
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
Google Cloud
您将获得的技能: Machine Learning 方法, 递归神经网络 (RNN), Keras（神经网络库）, 模型部署, 人工神经网络, 张力流, 生成模型架构
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
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
是什么让您今天来到 Coursera？
状态：免费试用IBM
您将获得的技能: Python 程序设计, Prompt Engineering, 计算机视觉, Transfer Learning, LLM 申请, 数据科学, 检索-增强生成, Keras（神经网络库）, 监督学习, 生成式人工智能, Apache Spark, PyTorch（机器学习库）, 大型语言模型, 视觉转换器（ViT）, 矢量数据库, 机器学习, PySpark, 生成模型架构, 无监督学习, Model Evaluation
状态：免费试用状态：人工智能技能您将获得的技能: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Machine Learning Methods, Image Analysis, Data Preprocessing, Model Deployment
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IBM
您将获得的技能: Python 程序设计, 卷积神经网络, 探索性数据分析, 自动编码器, 时间序列分析和预测, 数据科学, 降维, 强化学习, 数据分析, 分类算法, 数据预处理, 回归分析, 递归神经网络 (RNN), 功能工程, 无监督学习, 监督学习, 深度学习, 统计方法, 生成对抗网络 (GAN), 机器学习
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University of Colorado Boulder
您将获得的技能: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms
总之，以下是 10 最受欢迎的 autoencoders 课程
- Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
- 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 with Python: Packt
- Computer Vision: University of Colorado Boulder
- IBM 人工智能工程: IBM
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Generative AI for Data Scientists: Microsoft
- IBM 机器学习: IBM
