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Python-深度学习-物体检测实战
Python-深度学习-物体检测实战
Udemy
MOOC / Non-credit
USD 49.99
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About this course
计算机视觉-物体检测-通用解决框架Mask-Rcnn实战课程旨在帮助同学们快速掌握物体检测领域当下主流解决方案与网络框架构建原理,基于开源项目解读其应用领域与使用方法。通过debug方式,详细解读项目中每一模块核心源码,从代码角度理解网络实现方法与建模流程。为了方便同学们能将项目应用到自己的数据与任务中,实例演示如何针对自己的数据集制作标签与代码调整方法,全程实战操作,通俗讲解其中复杂的网络架构。
What you'll learn
understand the Mask R-CNN framework
implement object detection in various applications
debug and analyze core source code
prepare and adjust datasets for specific tasks
Course objectives
equip students with object detection techniques
facilitate hands-on experience with coding and debugging
enable practical understanding of complex network architectures
Skills you'll gain
deep learning
python
machine learning
computer vision
debugging
object detection
neural networks
dataset preparation
source code analysis
mask rcnn
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