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所在平台: Udemy |
课程主页: https://www.udemy.com/course/applied-deep-learningtm-the-complete-self-driving-car-course/
课程评论：没有评论
课程名称：《完整的自动驾驶汽车课程 - 应用深度学习》 课程概述： 自动驾驶汽车已迅速成为最具变革性的技术之一。在深度学习算法的推动下，它们不断推动着社会进步，并为出行领域创造新的机会。深度学习相关工作薪资高昂，成为开发领域的热门职业。该课程是首个也是唯一一个将深度学习应用于构建自动驾驶汽车的实践课程，让学习者能够掌握深度学习，在这一充满趣味的课程中，顶级讲师Rayan Slim将带领学员们从初学者成长为深度学习专家。Rayan拥有超过28000名学生的教学经验，采用“动手实践”的教学风格。 课程内容： 学员将逐步跟随讲师的演示，学习如何： - 使用OpenCV进行计算机视觉技术，识别自动驾驶汽车的车道线。 - 训练基于感知器的神经网络进行二元分类。 - 训练卷积神经网络识别各种交通标志。 - 训练深度神经网络以适应复杂的数据集。 - 精通用Python编写的强大神经网络库Keras。 - 构建和训练一辆能够独立行驶的功能齐全的自动驾驶汽车。 该课程不需要任何编程或数学经验，旨在将学习者从零基础培养成资深的深度学习开发者。所有源代码均可获取，且课程提供友好的问答支持。 完成课程后，学员将能够构建一辆完全依赖深度学习驱动的自动驾驶汽车，强大的模拟能力将令资深开发人员也感到惊艳，使学员具备可以应用于任何项目或公司的神经网络实践技能。
Self-driving cars have rapidly become one of the most transformative technologies to emerge. Fuelled by Deep Learning algorithms, they are continuously driving our society forward and creating new opportunities in the mobility sector. Deep Learning jobs command some of the highest salaries in the development world. This is the first, and only course which makes practical use of Deep Learning, and applies it to building a self-driving car, one of the most disruptive technologies in the world today. Learn & Master Deep Learning in this fun and exciting course with top instructor Rayan Slim. With over 28000 students, Rayan is a highly rated and experienced instructor who has followed a "learn by doing" style to create this amazing course.You'll go from beginner to Deep Learning expert and your instructor will complete each task with you step by step on screen.By the end of the course, you will have built a fully functional self-driving car fuelled entirely by Deep Learning. This powerful simulation will impress even the most senior developers and ensure you have hands on skills in neural networks that you can bring to any project or company.This course will show you how to:Use Computer Vision techniques via OpenCV to identify lane lines for a self-driving car.Learn to train a Perceptron-based Neural Network to classify between binary classes. Learn to train Convolutional Neural Networks to identify between various traffic signs. Train Deep Neural Networks to fit complex datasets.Master Keras, a power Neural Network library written in Python.Build and train a fully functional self driving car to drive on its own!No experience required. This course is designed to take students with no programming/mathematics experience to accomplished Deep Learning developers.This course also comes with all the source code and friendly support in the Q & A area.
