OR82 | BF9983C756A1BEB4DF8D8369E4FC7BA861A8413A

OR82

Name	OR82	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	4.7 GB
Total Files	88
Hash	BF9983C756A1BEB4DF8D8369E4FC7BA861A8413A

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01 - Introduction.mp4	114.5 MB
02 - Install Anaconda, OpenCV, Tensorflow, and the Course Materials.mp4	42.0 MB
03 - Test your Environment with Real-Time Edge Detection in a Jupyter Notebook.mp4	76.0 MB
04 - A Brief History of Autonomous Vehicles.mp4	84.0 MB
05 - Course Overview and Learning Outcomes.mp4	9.4 MB
06 - Python Basics - Whitespace, Imports, and Lists.mp4	52.9 MB
07 - Python Basics - Tuples and Dictionaries.mp4	20.8 MB
08 - Python Basics - Functions and Boolean Operations.mp4	17.7 MB
09 - Python Basics - Looping and an Exercise.mp4	12.9 MB
10 - Introduction to Pandas.mp4	53.9 MB
11 - Introduction to MatPlotLib.mp4	50.1 MB
12 - Introduction to Seaborn.mp4	91.7 MB
13 - What is computer vision and why is it important.mp4	36.3 MB
14 - Humans vs. Computers Vision system.mp4	78.1 MB
15 - What is an image and how is it digitally stored.mp4	53.5 MB
16 - [Activity] View colored image and convert RGB to Gray.mp4	49.9 MB
17 - [Activity] Detect lane lines in gray scale image.mp4	26.6 MB
18 - [Activity] Detect lane lines in colored image.mp4	19.2 MB
19 - What are the challenges of color selection technique.mp4	23.2 MB
20 - Color Spaces.mp4	66.5 MB
21 - [Activity] Convert RGB to HSV color spaces and merge_split channels.mp4	107.5 MB
22 - Convolutions - Sharpening and Blurring.mp4	47.8 MB
23 - [Activity] Convolutions - Sharpening and Blurring.mp4	59.3 MB
24 - Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).mp4	52.5 MB
25 - [Activity] Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).mp4	54.2 MB
26 - [Activity] Project #1 - Canny Sobel and Laplace Edge Detection using Webcam.mp4	51.3 MB
27 - Image Transformation - Rotations, Translation and Resizing.mp4	37.9 MB
28 - [Activity] Code to perform rotation, translation and resizing.mp4	92.9 MB
29 - Image Transformations – Perspective transform.mp4	38.3 MB
30 - [Activity] Perform non-affine image transformation on a traffic sign image.mp4	42.8 MB
31 - Image cropping dilation and erosion.mp4	57.4 MB
32 - [Activity] Code to perform Image cropping dilation and erosion.mp4	95.6 MB
33 - Region of interest masking.mp4	32.0 MB
34 - [Activity] Code to define the region of interest.mp4	48.6 MB
35 - Hough transform theory.mp4	88.7 MB
36 - [Activity] Hough transform – practical example in python.mp4	46.4 MB
37 - Project Solution - Hough transform to detect lane lines in an image.mp4	73.3 MB
38 - Image Features and their importance for object detection.mp4	51.5 MB
39 - [Activity] Find a truck in an image manually!.mp4	25.5 MB
40 - Template Matching - Find a Truck.mp4	59.5 MB
41 - [Activity] Project Solution - Find a Truck Using Template Matching.mp4	25.2 MB
42 - Corner detection – Harris.mp4	46.2 MB
43 - [Activity] Code to perform corner detection.mp4	60.5 MB
44 - Image Scaling – Pyramiding up_down.mp4	28.1 MB
45 - [Activity] Code to perform Image pyramiding.mp4	27.1 MB
46 - Histogram of colors.mp4	17.1 MB
47 - [Activity] Code to obtain color histogram.mp4	23.1 MB
48 - Histogram of Oriented Gradients (HOG).mp4	106.9 MB
49 - [Activity] Code to perform HOG Feature extraction.mp4	39.9 MB
50 - Feature Extraction - SIFT, SURF, FAST and ORB.mp4	28.9 MB
51 - [Activity] FAST_ORB Feature Extraction in OpenCV.mp4	43.6 MB
52 - What is Machine Learning.mp4	62.6 MB
53 - Evaluating Machine Learning Systems with Cross-Validation.mp4	40.3 MB
54 - Linear Regression.mp4	22.2 MB
55 - [Activity] Linear Regression in Action.mp4	25.2 MB
56 - Logistic Regression.mp4	7.4 MB
57 - [Activity] Logistic Regression In Action.mp4	61.9 MB
58 - Decision Trees and Random Forests.mp4	40.0 MB
59 - [Activity] Decision Trees In Action.mp4	64.7 MB
60 - Bayes Theorem and Naive Bayes.mp4	51.7 MB
61 - [Activity] Naive Bayes in Action.mp4	51.7 MB
62 - Support Vector Machines (SVM) and Support Vector Classifiers (SVC).mp4	25.3 MB
63 - [Activity] Support Vector Classifiers in Action.mp4	46.2 MB
64 - Project Solution - Detecting Cars Using SVM - Part #1.mp4	74.4 MB
65 - [Activity] Detecting Cars Using SVM - Part #2.mp4	130.8 MB
66 - [Activity] Project Solution - Detecting Cars Using SVM - Part #3.mp4	78.8 MB
67 - Introduction - What are Artificial Neural Networks and how do they learn.mp4	69.7 MB
68 - Single Neuron Perceptron Model.mp4	69.0 MB
69 - Activation Functions.mp4	21.7 MB
70 - ANN Training and dataset split.mp4	97.6 MB
71 - Practical Example - Vehicle Speed Determination.mp4	37.8 MB
72 - Code to build a perceptron for binary classification.mp4	66.3 MB
73 - Backpropagation Training.mp4	52.0 MB
74 - Code to Train a perceptron for binary classification.mp4	65.1 MB
75 - Two and Multi-layer Perceptron ANN.mp4	41.8 MB
76 - Example 1 - Build Multi-layer perceptron for binary classification.mp4	231.8 MB
77 - Example 2 - Build Multi-layer perceptron for binary classification.mp4	62.0 MB
78 - Intro to Deep Learning and Tensorflow.mp4	54.2 MB
79 - Building Deep Neural Networks with Keras, Normalization, and One-Hot Encoding..mp4	40.0 MB
80 - [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4	90.0 MB
81 - ReLU Activation, and Preventing Overfitting with Dropout Regularlization.mp4	27.2 MB
82 - [Activity] Improving our Classifier with Dropout Regularization.mp4	29.0 MB
83 - Convolutional Neural Networks (CNN's).mp4	55.4 MB
84 - Implementing CNN's in Keras.mp4	25.9 MB
85 - [Activity] Classifying Images with a Simple CNN, Part 1.mp4	58.0 MB
86 - [Activity] Classifying Images with a Simple CNN, Part 2.mp4	41.4 MB
87 - Max Pooling.mp4	5.4 MB
88 - [Activity] Improving our CNN's Topology and with Max Pooling.mp4	65.9 MB
Total files 88