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课程大纲
介绍
设置开发环境
创建项目
配置模拟器
准备数据集
Python 深度学习库概述
将 Computer Vision 技术应用于跟踪车道
训练基于感知器Neural Networks的检测其他车辆
实现卷积 Neural Networks 来预测转向角和速度
训练 Deep Learning 模型对交通标志进行分类
使用多项式回归提高预测准确性
测试自动驾驶汽车
故障 排除
总结和结论
要求
- Python 编程经验。
观众
- 开发 人员
21 小时
客户评论 (2)
The hands-on approach
Kevin De Cuyper
课程 - Computer Vision with OpenCV
Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.