Object Detection 课程可以帮助您学习图像处理、特征提取和分类技术。您可以掌握实现 Algorithm 和 SSD 等算法的技能,并了解评估模型性能的指标。许多课程介绍 TensorFlow 和 OpenCV 等工具,展示这些技术如何促进识别和定位图像和视频中物体的 AI 应用程序的开发。

Coursera
您将获得的技能: Tensorflow, Keras (Neural Network Library), Data Synthesis, Model Training, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming
★ 4.3 (117) · 中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Computer Vision, Applied Machine Learning, Digital Signal Processing
中级 · 课程 · 1-4 周

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

您将获得的技能: Model Training, Model Evaluation, Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Anomaly Detection, Data Science, Machine Learning, Cloud Computing
★ 4.8 (21) · 初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, System Configuration, Deep Learning, Real Time Data, Model Deployment, Software Installation, Application Deployment
中级 · 课程 · 3-6 个月

您将获得的技能: Computer Vision, Python Programming, Image Analysis, Real Time Data, Classification Algorithms, Visualization (Computer Graphics), Model Optimization, Development Environment, Software Installation, Algorithms
初级 · 课程 · 3-6 个月

您将获得的技能: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
高级设置 · 专项课程 · 1-3 个月

您将获得的技能: Model Evaluation, Model Optimization, Transfer Learning, PyTorch (Machine Learning Library), Fine-tuning, Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Model Training, Image Analysis, Computer Vision, AI Workflows, Verification And Validation, Tensorflow, Dataflow, Image Quality, Application Deployment, Deep Learning, Process Optimization
中级 · 专业证书 · 3-6 个月

您将获得的技能: Transfer Learning, Image Analysis, Fine-tuning, Computer Vision, Model Evaluation, Model Training, Model Optimization, Verification And Validation, Model Deployment, Performance Metric, Data Pipelines, Quality Assessment, Performance Measurement, Data Quality, Applied Machine Learning, Performance Analysis, Predictive Modeling, Analysis, Statistical Machine Learning, Statistical Modeling
中级 · 课程 · 3-6 个月

您将获得的技能: Model Evaluation, Model Training, Image Analysis, Model Optimization, Computer Vision, Model Deployment, Image Quality, MLOps (Machine Learning Operations), Data Analysis, Deep Learning, Exploratory Data Analysis, Failure Analysis, Data Preprocessing, Workflow Management, AI Workflows, Data Transformation, Experimentation, Performance Analysis, Data Manipulation, Performance Metric
中级 · 课程 · 1-3 个月

Columbia University
您将获得的技能: Algorithm, 计算机视觉, 色彩理论, 算法, 可视化(计算机制图), 医学影像, 人工神经网络, 图像质量, 图论, 估算, 无监督学习, 计算机图形学, 电子元件, 降维, 机器学习算法, 图像分析, 摄影, 自动化工程, 三维建模, 数学建模, 虚拟现实
★ 4.7 (239) · 初级 · 专项课程 · 3-6 个月
DeepLearning.AI
您将获得的技能: 卷积神经网络, 生成式对抗网络(GANs), 深度学习, 计算机视觉, 自动编码器, 应用机器学习, 可视化(计算机制图), 生成式人工智能, 模型培训, Keras(神经网络库), 人工神经网络, 分类算法, 模型优化, 微调, Model Evaluation, Transfer Learning, 分布式计算, 图像分析, 迁移学习, 模型评估, 张力流, 生成模型架构
★ 4.8 (1690) · 中级 · 专项课程 · 3-6 个月