Udemy
MOOC / Non-credit
0
Python-深度学习-物体检测实战
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。
D
43/100
CourseAsk score
- What the provider tells you
- 23/45
- Who stands behind it
- 8/35
- How complete the listing is
- 12/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
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
Deep Learning
#deep learning
#python
#machine learning
#computer vision
#debugging
#object detection
#neural networks
#dataset preparation
#source code analysis
#mask rcnn
$49.99
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