个结果，搜索词为 "embeddings"
DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 无监督学习, 图像质量, 模型评估, 生成式人工智能, 生成式对抗网络（GANs）, 负责任的人工智能, 数据伦理, 生成模型架构, 机器学习
Google Cloud
您将获得的技能: Model Deployment, Recurrent Neural Networks (RNNs), Tensorflow, Keras (Neural Network Library), Generative Model Architectures, Machine Learning Methods
您将获得的技能: Large Language Modeling, LLM Application, Model Deployment, AI Enablement, Transfer Learning, Prompt Engineering, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), Responsible AI, Scalability, Machine Learning, Performance Tuning, Systems Integration
Google Cloud
您将获得的技能: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Generative AI, Generative Model Architectures, Applied Machine Learning, Natural Language Processing
University of Pennsylvania
您将获得的技能: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Machine Learning, Artificial Intelligence
您将获得的技能: Large Language Modeling, Natural Language Processing, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning
Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
DeepLearning.AI
您将获得的技能: 数据预处理, Apache Hadoop, 数据转换, Apache Spark, 实时数据, 星形模式, 数据建模, 数据访问, 功能工程, 数据仓库, 数据管道, 机器学习
Stanford University
您将获得的技能: 算法, 模型评估, 贝叶斯统计, 马尔可夫模型, 机器学习算法, 统计建模, 贝叶斯网络, 统计方法, 概率分布, 应用机器学习, 机器学习
Sungkyunkwan University
您将获得的技能: Recurrent Neural Networks (RNNs), Image Analysis, Convolutional Neural Networks, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Machine Learning
Stanford University
您将获得的技能: 图论, 算法, 贝叶斯统计, 抽样（统计）, 决策支持系统, 机器学习方法, 模型评估, 网络模型, 计算思维, 统计建模, 马尔可夫模型, 贝叶斯网络, 统计方法, 机器学习算法, 应用机器学习, 概率与统计, 网络分析, 统计推理, 机器学习, 概率分布
University of Michigan
您将获得的技能: 数据操作, 软件安装, 数据处理, Python 编程, 数据分析, 开发环境, 数据结构
与 embeddings 相关的搜索
总之，以下是 10 最受欢迎的 embeddings 课程
- 构建更好的生成对抗网络 (GAN): DeepLearning.AI
- Encoder-Decoder Architecture - 日本語版: Google Cloud
- Decoding Large Language Models: Packt
- Encoder-Decoder Architecture - בעברית: Google Cloud
- Deep Learning Essentials: University of Pennsylvania
- Neural Models and Machine Translation: Edureka
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- 数据建模、转换和服务: DeepLearning.AI
- 概率图形模型 3：学习: Stanford University
- Fundamentals of CNNs and RNNs: Sungkyunkwan University
