神经网络课程可以帮助您学习架构设计、反向传播、激活函数和优化技术的基础知识。您可以掌握训练模型、调整超参数和评估性能指标的技能。许多课程介绍了 TensorFlow 和 PyTorch 等工具,这些工具支持在图像识别、自然语言处理和预测分析等实际应用中实现神经网络。

您将获得的技能: Rmarkdown, Shiny (R Package), Deep Learning, Data Import/Export, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Plotly, Applied Machine Learning, Machine Learning Algorithms, Web Scraping, Artificial Intelligence, Interactive Data Visualization, Dimensionality Reduction, Statistical Analysis, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 3-6 个月

Illinois Tech
您将获得的技能: NoSQL, Machine Learning Algorithms, Big Data, Apache Hadoop, Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Generative AI, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Data Management, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
攻读学位
中级 · 专项课程 · 3-6 个月

您将获得的技能: PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Generative AI, Supervised Learning, Image Analysis, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Computer Vision, Artificial Intelligence, Dimensionality Reduction, Text Mining, Network Model, Unsupervised Learning, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Time Series Analysis and Forecasting, Regression Analysis
中级 · 专项课程 · 3-6 个月

Microsoft
您将获得的技能: 数据科学, 数据分析, MLOps(机器学习 Operator), Scikit-learn (机器学习库), 张力流, PyTorch(机器学习库), 微软 Azure, 人工智能和机器学习(AI/ML), 深度学习, 分类与回归树 (CART), 预测建模, 机器学习, 无监督学习, 回归分析, 图像分析, 探索性数据分析, 数据可视化, Pandas(Python 软件包), 人工神经网络, Jupyter
中级 · 课程 · 1-4 周

LearnQuest
您将获得的技能: 数据转换, Python 程序设计, 监督学习, 人工智能和机器学习(AI/ML), 预测建模, 机器学习, 随机森林算法, 无监督学习, 应用机器学习, 人工神经网络, 数据清理, 机器学习算法, 数据处理, 降维
中级 · 课程 · 1-4 周

University of Illinois Urbana-Champaign
您将获得的技能: 人工智能和机器学习(AI/ML), 健康信息学, 计划发展, 医疗保健, 深度学习, 计算机视觉, 监督学习, 机器学习, 无监督学习, 医学科学与研究, 人工神经网络
高级设置 · 课程 · 1-4 周

您将获得的技能: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning
中级 · 课程 · 1-3 个月

Saïd Business School, University of Oxford
您将获得的技能: Responsible AI, Artificial Neural Networks, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Generative AI, Generative Model Architectures, Data Ethics, Deep Learning, Machine Learning, Business Ethics, Supervised Learning, Reinforcement Learning, Unsupervised Learning
初级 · 课程 · 1-3 个月

您将获得的技能: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Mortgage Loans, Consumer Lending
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Image Analysis, Tensorflow, Amazon Web Services, Cloud Applications, Application Development, Application Deployment, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Data Processing, Front-End Web Development
混合 · 课程 · 1-4 周

您将获得的技能: Artificial Intelligence, Jupyter, Healthcare Industry Knowledge, Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Statistical Machine Learning, Predictive Modeling, Health Information Management, Data-Driven Decision-Making, Decision Support Systems, Data Processing, Data Analysis
中级 · 专项课程 · 1-3 个月

University of Michigan
您将获得的技能: 人工智能, 金融交易, 大数据, 投资管理, 人工智能和机器学习(AI/ML), 金融科技, 投资, 资产管理, 预测分析, 投资组合管理, 机器学习, 财富管理, 人工神经网络, 金融市场
初级 · 课程 · 1-4 周