视觉课程可以帮助您学习视觉感知基础、图像处理技术和光学系统原理。您可以掌握分析 Visualization 数据、理解 Color Theory 以及将视觉设计原理应用于各种项目的技能。许多课程介绍了用于图像编辑的 Adobe Photoshop、用于模拟的 MATLAB 和用于计算机视觉的 Python 库等工具,展示了这些技能如何应用于平面设计、摄影和人工智能等领域。

University of Toronto
您将获得的技能: 移动开发, 用户界面 (UI) 设计, 动画, 苹果 Xcode, Swift 编程, 应用设计, 应用程序开发, 图像分析, 计算机视觉, 苹果 iOS
混合 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Convolutional Neural Networks, Machine Learning Methods, Applied Machine Learning, Network Architecture
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Hugging Face, LLM Application, Generative AI, Model Deployment, Cloud Deployment, Natural Language Processing, Large Language Modeling, Applied Machine Learning, User Interface (UI), API Design, Computer Vision
初级 · 项目 · 不超过 2 小时

DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Image Analysis, Data Pipelines, Data Preprocessing, Model Evaluation, Machine Learning
中级 · 课程 · 1-4 周

Microsoft
您将获得的技能: Product Roadmaps, AI Product Strategy, Technology Roadmaps, Product Strategy, User Story, Agile Product Development, Stakeholder Management, Product Requirements, Functional Specification, Responsible AI, Innovation, Change Management, Market Research, Prioritization
初级 · 课程 · 1-3 个月

您将获得的技能: PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Applied Machine Learning, Model Evaluation, Deep Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Applied Machine Learning, Vision Transformer (ViT), Image Analysis, Machine Learning, Computer Vision, Artificial Neural Networks, Artificial Intelligence, Unsupervised Learning, Python Programming, Embeddings, Data Preprocessing
中级 · 专项课程 · 3-6 个月

Duke University
您将获得的技能: Google 云端平台, MLOps(机器学习 Operator), 云应用, Flask(网络框架), 机器学习, 模型部署, 应用编程接口 (API), 自然语言处理, 应用机器学习, 持续交付, 人工智能和机器学习(AI/ML), 计算机视觉, 微软 Azure
中级 · 课程 · 1-4 周

Pontificia Universidad Católica de Chile
您将获得的技能: Image Quality, Image Analysis, Computer Vision, Digital Signal Processing, Algorithms, Python Programming, NumPy, Linear Algebra
中级 · 课程 · 1-3 个月
Alberta Machine Intelligence Institute
您将获得的技能: Prompt Engineering, Large Language Modeling, Responsible AI, Generative AI, LLM Application, Data Ethics, AI Workflows, Business Ethics, ChatGPT, AI Enablement, AI Product Strategy, Case Studies, Regulatory Requirements, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Computer Vision, Natural Language Processing, Reinforcement Learning, Data Processing, Data Science
初级 · 专项课程 · 1-3 个月
University of London
您将获得的技能: Applied Machine Learning, Model Evaluation, Artificial Intelligence, Machine Learning, Computer Vision, Data Preprocessing
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
高级设置 · 课程 · 1-4 周