优达学城：无人驾驶汽车工程师 (纳米学位课程)，全套免...
课程文件目录：优达学城：carnd-video Udacity优达学城无人驾驶工程师
┣━━Advanced-lane-finding
┃ ┣━━Advanced Lane Finding Videos
┃ ┃ ┣━━1 – Welcome.avi
┃ ┃ ┣━━2 – Overview_(new).avi
┃ ┃ ┣━━3 – Getting Started, Camera Calibration.mp4
┃ ┃ ┣━━4 – Distortion.mp4
┃ ┃ ┣━━5 – Pinhole Camera Model and Types of Distortion.mp4
┃ ┃ ┣━━6 – Distortion.mp4
┃ ┃ ┣━━7 – Chessboards.mp4
┃ ┃ ┣━━8 – Lane Curvature.mp4
┃ ┃ ┣━━9 – Perspective Transform_(new).avi
┃ ┃ ┣━━10 – Transforming a Stop Sign.mp4
┃ ┃ ┣━━11 – Gradient Threshold.mp4
┃ ┃ ┣━━12 – Color Spaces.mp4
┃ ┃ ┣━━13 – Color Spaces and Thresholding.mp4
┃ ┃ ┣━━14 – Project Steps.avi
┃ ┃ ┣━━15 – Finding Lane Pixels by Histogram and Sliding Window_(new).avi
┃ ┃ ┗━━16 – Onward!.mp4
┃ ┗━━Advanced Lane Finding Subtitles.zip
┣━━Behavoir cloning
┃ ┣━━Behavioral Cloning Subtitles.zip
┃ ┣━━Behavioral Cloning Videos.zip
┃ ┣━━simulator-linux.zip
┃ ┣━━simulator-macos.zip
┃ ┗━━simulator-windows-64.zip
┣━━Convolutional neural network
┃ ┣━━cnn (1).zip
┃ ┣━━cnn (2).zip
┃ ┣━━cnn (3).zip
┃ ┣━━cnn (4).zip
┃ ┣━━cnn (5).zip
┃ ┗━━cnn.zip
┣━━Decision Tree
┃ ┣━━Decision Trees Subtitles.zip
┃ ┗━━Decision Trees Videos.zip
┣━━Deep neural network
┃ ┣━━Convolutional Neural Networks Videos.zip
┃ ┣━━Deep Neural Networks Videos.zip
┃ ┣━━multilayer-perceptron (1).zip
┃ ┣━━multilayer-perceptron (2).zip
┃ ┣━━multilayer-perceptron (3).zip
┃ ┗━━multilayer-perceptron.zip
┣━━Finding-lane-lines
┃ ┣━━Finding Lane Lines Subtitles.zip
┃ ┗━━Finding Lane Lines Videos.zip
┣━━Introduction to nerual-network
┃ ┣━━Introduction to Neural Networks Subtitles.zip
┃ ┗━━Introduction to Neural Networks Videos.zip
┣━━Introduction to tensorflow
┃ ┣━━Introduction to TensorFlow Subtitles.zip
┃ ┗━━Introduction to TensorFlow Videos.zip
┣━━keras
┃ ┣━━Keras Subtitles.zip
┃ ┗━━Keras Videos.zip
┣━━Machine learning
┃ ┣━━Machine Learning and Stanley Videos
┃ ┃ ┣━━1 – Intro to Classifiers_(new).avi
┃ ┃ ┣━━2 – ML in The Google Self-Driving Car_(new).avi
┃ ┃ ┣━━3 – Intro To Stanley Terrain Classification.mp4
┃ ┃ ┣━━4 – Stanley Terrain Classification.mp4
┃ ┃ ┣━━5 – Speed Scatterplot_ Grade and Bumpiness.mp4
┃ ┃ ┣━━6 – Speed Scatterplot_ Grade and Bumpiness Solution.mp4
┃ ┃ ┣━━7 – Speed Scatterplot 2.mp4
┃ ┃ ┣━━8 – Speed Scatterplot 2 Solution.mp4
┃ ┃ ┣━━9 – Speed Scatterplot 3.mp4
┃ ┃ ┣━━10 – Speed Scatterplot 3 Solution.mp4
┃ ┃ ┣━━11 – From Scatterplots to Predictions_(new).avi
┃ ┃ ┣━━12 – From Scatterplots to Predictions Solution_(new).avi
┃ ┃ ┣━━13 – From Scatterplots to Predictions 2.mp4
┃ ┃ ┣━━14 – From Scatterplots to Predictions 2 Solution.mp4
┃ ┃ ┣━━15 – From Scatterplots to Decision Surfaces.mp4
┃ ┃ ┣━━16 – From Scatterplots to Decision Surfaces Solution.mp4
┃ ┃ ┣━━17 – A Good Linear Decision Surface.mp4
┃ ┃ ┣━━18 – A Good Linear Decision Surface Solution.mp4
┃ ┃ ┣━━19 – Transition to Using Naive Bayes.mp4
┃ ┃ ┣━━20 – NB Decision Boundary in Python.mp4
┃ ┃ ┣━━21 – Getting Started With sklearn.mp4
┃ ┃ ┣━━22 – Gaussian NB Example.mp4
┃ ┃ ┣━━23 – GaussianNB Deployment on Terrain Data.mp4
┃ ┃ ┣━━24 – GaussianNB Deployment on Terrain Data Solution.mp4
┃ ┃ ┣━━25 – Calculating NB Accuracy.mp4
┃ ┃ ┣━━26 – Calculating NB Accuracy Solution.mp4
┃ ┃ ┣━━27 – Training and Testing Data.mp4
┃ ┃ ┣━━28 – Naive Bayes Strengths and Weaknesses.mp4
┃ ┃ ┗━━29 – Congrats on Learning Naive Bayes_(new).avi
┃ ┗━━Lesson 1–Naive Bayes Subtitles.zip
┣━━Miniflow
┃ ┣━━MiniFlow Subtitles.zip
┃ ┣━━MiniFlow Videos.zip
┃ ┗━━mnist.pkl.gz
┣━━support vector machine
┃ ┣━━Lesson 2–SVM Subtitles.zip
┃ ┗━━Support Vector Machines Videos.zip
┣━━The end
┃ ┗━━The End Videos.zip
┣━━Traffice sign classifier
┃ ┣━━Traffic Sign Classifier Subtitles.zip
┃ ┣━━Traffic Sign Classifier Videos.zip
┃ ┗━━traffic-signs-data.zip
┣━━Transfer learning
┃ ┣━━inception-cifar10-bottleneck-data.zip
┃ ┣━━inception-traffic-bottleneck-data.zip
┃ ┣━━resnet-cifar10-bottleneck-data.zip
┃ ┣━━resnet-traffic-bottleneck-data.zip
┃ ┣━━Transfer Learning Subtitles.zip
┃ ┣━━Transfer Learning Videos.zip
┃ ┣━━vgg-cifar10-bottleneck-data.zip
┃ ┗━━vgg-traffic-bottleneck-data.zip
┣━━vehicle detection
┃ ┣━━Vehicle Detection and Tracking Videos
┃ ┃ ┣━━1 – Intro to Vehicle Tracking_(new).avi
┃ ┃ ┣━━2 – Intro to Arpan and Drew_(new).avi
┃ ┃ ┣━━3 – Object Detection Overview.mp4
┃ ┃ ┣━━4 – Features.mp4
┃ ┃ ┣━━5 – Color Features.mp4
┃ ┃ ┣━━6 – Color Histogram Features.mp4
┃ ┃ ┣━━7 – Color Spaces_(new).avi
┃ ┃ ┣━━8 – Gradient Features.mp4
┃ ┃ ┣━━9 – HOG Features.mp4
┃ ┃ ┣━━10 – Combining Features.mp4
┃ ┃ ┣━━11 – Build a Classifier.mp4
┃ ┃ ┣━━12 – Labeled Data.mp4
┃ ┃ ┣━━13 – Train a Classifier.mp4
┃ ┃ ┣━━14 – Sliding Windows.mp4
┃ ┃ ┣━━15 – Multi-scale Windows_(new).avi
┃ ┃ ┣━━16 – Tracking Issues.mp4
┃ ┃ ┣━━17 – False Positives.mp4
┃ ┃ ┣━━18 – Tracking in Video.mp4
┃ ┃ ┣━━19 – Tracking Intuitions.mp4
┃ ┃ ┣━━20 – Tracking Pipeline.mp4
┃ ┃ ┣━━21 – Summary of Vehicle Detection and Tracking.mp4
┃ ┃ ┗━━22 – Traditional vs. Deep Learning Approach_(new).avi
┃ ┗━━Vehicle Detection and Tracking Subtitles.zip
┗━━welcome
┣━━1 – Welcome.mp4
┣━━2 – Meet Your Instructors.mp4
┣━━3 – Overview.mp4
┣━━4 – Career Support.mp4
┣━━5 – The Great Robot Race.mp4
┣━━Welcome Subtitles.zip
┗━━Welcome Videos.zip
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