优达学城:无人驾驶汽车工程师 (纳米学位课程),全套免费下载 国际高端培训

优达学城:无人驾驶汽车工程师 (纳米学位课程),全套免费下载

本套课程来自国际高端IT培训网站,优达学城提供的:纳米学位项目,无人驾驶工程师 (英),程授课方式为,硅谷老师授课,英文字幕。无人驾驶汽车工程师目前是市场上热门的AI行业之一,薪资起薪基本在2.5W每月起。

本课程为高端系列课程,学习前需要掌握:中级 Python 及 C++ 编程能力,基础线性代数、微积分、统计学及物理知识以及英文听写能力。

本套课程官方培训费用同样昂贵,文章底部附免费全套课程下载地址。如链接失效可评论告知。
课程官方地址:https://cn.udacity.com/course/self-driving-car-engineer–nd013
无人驾驶工程师

课程文件目录:

优达学城:carnd-video Udacity优达学城无人驾驶工程师 [3.9G]
┣━━Advanced-lane-finding [78M]
┃ ┣━━Advanced Lane Finding Videos [78M]
┃ ┃ ┣━━1 – Welcome.avi [11.6M]
┃ ┃ ┣━━2 – Overview_(new).avi [7.3M]
┃ ┃ ┣━━3 – Getting Started, Camera Calibration.mp4 [3.7M]
┃ ┃ ┣━━4 – Distortion.mp4 [1.2M]
┃ ┃ ┣━━5 – Pinhole Camera Model and Types of Distortion.mp4 [2.9M]
┃ ┃ ┣━━6 – Distortion.mp4 [1.5M]
┃ ┃ ┣━━7 – Chessboards.mp4 [4.2M]
┃ ┃ ┣━━8 – Lane Curvature.mp4 [2.1M]
┃ ┃ ┣━━9 – Perspective Transform_(new).avi [19.8M]
┃ ┃ ┣━━10 – Transforming a Stop Sign.mp4 [4.8M]
┃ ┃ ┣━━11 – Gradient Threshold.mp4 [1.5M]
┃ ┃ ┣━━12 – Color Spaces.mp4 [1.2M]
┃ ┃ ┣━━13 – Color Spaces and Thresholding.mp4 [2.8M]
┃ ┃ ┣━━14 – Project Steps.avi [3.8M]
┃ ┃ ┣━━15 – Finding Lane Pixels by Histogram and Sliding Window_(new).avi [5.9M]
┃ ┃ ┗━━16 – Onward!.mp4 [3.7M]
┃ ┗━━Advanced Lane Finding Subtitles.zip [49.9K]
┣━━Behavoir cloning [414.2M]
┃ ┣━━Behavioral Cloning Subtitles.zip [35K]
┃ ┣━━Behavioral Cloning Videos.zip [71.7M]
┃ ┣━━simulator-linux.zip [116.2M]
┃ ┣━━simulator-macos.zip [122.6M]
┃ ┗━━simulator-windows-64.zip [103.6M]
┣━━Convolutional neural network [22K]
┃ ┣━━cnn (1).zip [3.8K]
┃ ┣━━cnn (2).zip [3.8K]
┃ ┣━━cnn (3).zip [3.8K]
┃ ┣━━cnn (4).zip [3.8K]
┃ ┣━━cnn (5).zip [3.2K]
┃ ┗━━cnn.zip [3.6K]
┣━━Decision Tree [65.4M]
┃ ┣━━Decision Trees Subtitles.zip [277.6K]
┃ ┗━━Decision Trees Videos.zip [65.1M]
┣━━Deep neural network [34.7M]
┃ ┣━━Convolutional Neural Networks Videos.zip [15.4M]
┃ ┣━━Deep Neural Networks Videos.zip [19.2M]
┃ ┣━━multilayer-perceptron (1).zip [3.9K]
┃ ┣━━multilayer-perceptron (2).zip [4.4K]
┃ ┣━━multilayer-perceptron (3).zip [2.9K]
┃ ┗━━multilayer-perceptron.zip [2.3K]
┣━━Finding-lane-lines [22.1M]
┃ ┣━━Finding Lane Lines Subtitles.zip [15.3K]
┃ ┗━━Finding Lane Lines Videos.zip [22.1M]
┣━━Introduction to nerual-network [33.4M]
┃ ┣━━Introduction to Neural Networks Subtitles.zip [72.1K]
┃ ┗━━Introduction to Neural Networks Videos.zip [33.3M]
┣━━Introduction to tensorflow [34.9M]
┃ ┣━━Introduction to TensorFlow Subtitles.zip [94.2K]
┃ ┗━━Introduction to TensorFlow Videos.zip [34.8M]
┣━━keras [11M]
┃ ┣━━Keras Subtitles.zip [3.4K]
┃ ┗━━Keras Videos.zip [11M]
┣━━Machine learning [330M]
┃ ┣━━Machine Learning and Stanley Videos [329.9M]
┃ ┃ ┣━━1 – Intro to Classifiers_(new).avi [5.7M]
┃ ┃ ┣━━2 – ML in The Google Self-Driving Car_(new).avi [65.3M]
┃ ┃ ┣━━3 – Intro To Stanley Terrain Classification.mp4 [11M]
┃ ┃ ┣━━4 – Stanley Terrain Classification.mp4 [4.2M]
┃ ┃ ┣━━5 – Speed Scatterplot_ Grade and Bumpiness.mp4 [21.8M]
┃ ┃ ┣━━6 – Speed Scatterplot_ Grade and Bumpiness Solution.mp4 [983.4K]
┃ ┃ ┣━━7 – Speed Scatterplot 2.mp4 [1.5M]
┃ ┃ ┣━━8 – Speed Scatterplot 2 Solution.mp4 [2.1M]
┃ ┃ ┣━━9 – Speed Scatterplot 3.mp4 [2M]
┃ ┃ ┣━━10 – Speed Scatterplot 3 Solution.mp4 [8.4M]
┃ ┃ ┣━━11 – From Scatterplots to Predictions_(new).avi [8.1M]
┃ ┃ ┣━━12 – From Scatterplots to Predictions Solution_(new).avi [1.9M]
┃ ┃ ┣━━13 – From Scatterplots to Predictions 2.mp4 [2.2M]
┃ ┃ ┣━━14 – From Scatterplots to Predictions 2 Solution.mp4 [2.5M]
┃ ┃ ┣━━15 – From Scatterplots to Decision Surfaces.mp4 [8.1M]
┃ ┃ ┣━━16 – From Scatterplots to Decision Surfaces Solution.mp4 [5M]
┃ ┃ ┣━━17 – A Good Linear Decision Surface.mp4 [4.1M]
┃ ┃ ┣━━18 – A Good Linear Decision Surface Solution.mp4 [11.5M]
┃ ┃ ┣━━19 – Transition to Using Naive Bayes.mp4 [4.4M]
┃ ┃ ┣━━20 – NB Decision Boundary in Python.mp4 [9.5M]
┃ ┃ ┣━━21 – Getting Started With sklearn.mp4 [21.9M]
┃ ┃ ┣━━22 – Gaussian NB Example.mp4 [45.6M]
┃ ┃ ┣━━23 – GaussianNB Deployment on Terrain Data.mp4 [14M]
┃ ┃ ┣━━24 – GaussianNB Deployment on Terrain Data Solution.mp4 [3.1M]
┃ ┃ ┣━━25 – Calculating NB Accuracy.mp4 [20.9M]
┃ ┃ ┣━━26 – Calculating NB Accuracy Solution.mp4 [11M]
┃ ┃ ┣━━27 – Training and Testing Data.mp4 [18.1M]
┃ ┃ ┣━━28 – Naive Bayes Strengths and Weaknesses.mp4 [5.3M]
┃ ┃ ┗━━29 – Congrats on Learning Naive Bayes_(new).avi [9.4M]
┃ ┗━━Lesson 1–Naive Bayes Subtitles.zip [82.8K]
┣━━Miniflow [18M]
┃ ┣━━MiniFlow Subtitles.zip [1.2K]
┃ ┣━━MiniFlow Videos.zip [1.8M]
┃ ┗━━mnist.pkl.gz [16.3M]
┣━━support vector machine [482.9M]
┃ ┣━━Lesson 2–SVM Subtitles.zip [54.1K]
┃ ┗━━Support Vector Machines Videos.zip [482.8M]
┣━━The end [7.3M]
┃ ┗━━The End Videos.zip [7.3M]
┣━━Traffice sign classifier [132.9M]
┃ ┣━━Traffic Sign Classifier Subtitles.zip [27.4K]
┃ ┣━━Traffic Sign Classifier Videos.zip [15M]
┃ ┗━━traffic-signs-data.zip [117.8M]
┣━━Transfer learning [1.4G]
┃ ┣━━inception-cifar10-bottleneck-data.zip [361.8M]
┃ ┣━━inception-traffic-bottleneck-data.zip [283.5M]
┃ ┣━━resnet-cifar10-bottleneck-data.zip [344.8M]
┃ ┣━━resnet-traffic-bottleneck-data.zip [269.1M]
┃ ┣━━Transfer Learning Subtitles.zip [28.3K]
┃ ┣━━Transfer Learning Videos.zip [54.7M]
┃ ┣━━vgg-cifar10-bottleneck-data.zip [75.7M]
┃ ┗━━vgg-traffic-bottleneck-data.zip [55.6M]
┣━━vehicle detection [79.8M]
┃ ┣━━Vehicle Detection and Tracking Videos [79.7M]
┃ ┃ ┣━━1 – Intro to Vehicle Tracking_(new).avi [5M]
┃ ┃ ┣━━2 – Intro to Arpan and Drew_(new).avi [13.8M]
┃ ┃ ┣━━3 – Object Detection Overview.mp4 [2.3M]
┃ ┃ ┣━━4 – Features.mp4 [576.7K]
┃ ┃ ┣━━5 – Color Features.mp4 [686.9K]
┃ ┃ ┣━━6 – Color Histogram Features.mp4 [1.3M]
┃ ┃ ┣━━7 – Color Spaces_(new).avi [15.2M]
┃ ┃ ┣━━8 – Gradient Features.mp4 [878.6K]
┃ ┃ ┣━━9 – HOG Features.mp4 [2.3M]
┃ ┃ ┣━━10 – Combining Features.mp4 [1021.8K]
┃ ┃ ┣━━11 – Build a Classifier.mp4 [1.2M]
┃ ┃ ┣━━12 – Labeled Data.mp4 [1.6M]
┃ ┃ ┣━━13 – Train a Classifier.mp4 [1.3M]
┃ ┃ ┣━━14 – Sliding Windows.mp4 [2.2M]
┃ ┃ ┣━━15 – Multi-scale Windows_(new).avi [9.8M]
┃ ┃ ┣━━16 – Tracking Issues.mp4 [1.7M]
┃ ┃ ┣━━17 – False Positives.mp4 [1.5M]
┃ ┃ ┣━━18 – Tracking in Video.mp4 [1M]
┃ ┃ ┣━━19 – Tracking Intuitions.mp4 [638K]
┃ ┃ ┣━━20 – Tracking Pipeline.mp4 [1M]
┃ ┃ ┣━━21 – Summary of Vehicle Detection and Tracking.mp4 [4.4M]
┃ ┃ ┗━━22 – Traditional vs. Deep Learning Approach_(new).avi [10.3M]
┃ ┗━━Vehicle Detection and Tracking Subtitles.zip [47.2K]
┗━━welcome [852.8M]
┣━━1 – Welcome.mp4 [7.6M]
┣━━2 – Meet Your Instructors.mp4 [3.5M]
┣━━3 – Overview.mp4 [5.5M]
┣━━4 – Career Support.mp4 [4.9M]
┣━━5 – The Great Robot Race.mp4 [404.9M]
┣━━Welcome Subtitles.zip [86.4K]
┗━━Welcome Videos.zip [426.4M]


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