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。
CertNexus
您将获得的技能: 计算机视觉, 深度学习, 决策树学习, 监督学习, 自然语言处理, 随机森林算法, 机器学习算法, 预测建模, 卷积神经网络, 应用机器学习, 分类算法, 递归神经网络 (RNN), 人工智能和机器学习(AI/ML), 人工神经网络
中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
初级 · 专项课程 · 1-3 个月

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

L&T EduTech
您将获得的技能: PyTorch(机器学习库), 人工智能, 计算机视觉, 电气工程, 医疗保健 5.0, 张力流, 深度学习, 数据预处理, 电力系统, 机器学习算法, 卷积神经网络, 应用机器学习, 石油和天然气, 机器学习, 土木工程, 机械工程, 变电站, 人工神经网络, 图像分析
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Classification Algorithms, Network Architecture
中级 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing
中级 · 课程 · 1-3 个月

您将获得的技能: Convolutional Neural Networks, Deep Learning, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification Algorithms, Machine Learning, Supervised Learning, Data Processing, Linear Algebra
中级 · 课程 · 1-4 周

您将获得的技能: Generative AI, Oracle Cloud, Large Language Modeling, AI Enablement, Artificial Intelligence, Supervised Learning, Prompt Engineering, Deep Learning, Machine Learning, Artificial Neural Networks, Unsupervised Learning, Computer Vision, Natural Language Processing, Recurrent Neural Networks (RNNs)
初级 · 课程 · 1-4 周

Universidad de los Andes
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Computer Vision, Network Architecture, Natural Language Processing
攻读学位
初级 · 课程 · 1-4 周

您将获得的技能: Backlogs, Stakeholder Communications, Virtual Teams, Stakeholder Management, Agile Product Development, Agile Methodology, Communication, Cross-Functional Collaboration, Negotiation, Conflict Management, Product Management, Product Requirements, User Story, Team Building, Prioritization, Customer experience strategy (CX)
初级 · 课程 · 1-4 周

Università di Napoli Federico II
您将获得的技能: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Python Programming, Deep Learning, Computer Programming, Computer Vision, Artificial Neural Networks, Transfer Learning, Scripting, Programming Principles, Data Management
中级 · 专项课程 · 1-3 个月

您将获得的技能: Model Evaluation, Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Data Preprocessing, Deep Learning, Computer Vision, Tensorflow, Python Programming, Cloud Computing, Development Environment
混合 · 课程 · 1-4 周