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[FreeCourseSite.com] Udemy - Autonomous Cars Deep Learning and Computer Vision in Python
magnet:?xt=urn:btih:268a4c130da593e4182ed4d1bfce981b0e56aa1c&dn=[FreeCourseSite.com] Udemy - Autonomous Cars Deep Learning and Computer Vision in Python
磁力链接详情
Hash值:
268a4c130da593e4182ed4d1bfce981b0e56aa1c
点击数:
198
文件大小:
7.36 GB
文件数量:
92
创建日期:
2021-8-8 06:44
最后访问:
2024-7-21 23:25
访问标签:
FreeCourseSite
com
Udemy
-
Autonomous
Cars
Deep
Learning
and
Computer
Vision
in
Python
文件列表详情
1. Environment Setup and Installation/1. Introduction.mp4 74.83 MB
1. Environment Setup and Installation/2. Install Anaconda, OpenCV, Tensorflow, and the Course Materials.mp4 61.53 MB
1. Environment Setup and Installation/3. Test your Environment with Real-Time Edge Detection in a Jupyter Notebook.mp4 61.34 MB
1. Environment Setup and Installation/4. Udemy 101 Getting the Most From This Course.mp4 19.73 MB
10. Deep Learning and Tensorflow Part 1/1. Intro to Deep Learning and Tensorflow.mp4 74.52 MB
10. Deep Learning and Tensorflow Part 1/2. Building Deep Neural Networks with Keras, Normalization, and One-Hot Encoding..mp4 63.86 MB
10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4 134.56 MB
10. Deep Learning and Tensorflow Part 1/4. ReLU Activation, and Preventing Overfitting with Dropout Regularlization.mp4 43.57 MB
10. Deep Learning and Tensorflow Part 1/5. [Activity] Improving our Classifier with Dropout Regularization.mp4 41.38 MB
11. Deep Learning and Tensorflow Part 2/1. Convolutional Neural Networks (CNN's).mp4 70.9 MB
11. Deep Learning and Tensorflow Part 2/2. Implementing CNN's in Keras.mp4 42.33 MB
11. Deep Learning and Tensorflow Part 2/3. [Activity] Classifying Images with a Simple CNN, Part 1.mp4 83.58 MB
11. Deep Learning and Tensorflow Part 2/4. [Activity] Classifying Images with a Simple CNN, Part 2.mp4 67.15 MB
11. Deep Learning and Tensorflow Part 2/5. Max Pooling.mp4 8.49 MB
11. Deep Learning and Tensorflow Part 2/6. [Activity] Improving our CNN's Topology and with Max Pooling.mp4 102.24 MB
11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.mp4 150.58 MB
11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4 175.33 MB
12. Wrapping Up/1. Bonus Lecture Keep Learning with Sundog Education.mp4 22.18 MB
2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.mp4 145.92 MB
2. Introduction to Self-Driving Cars/2. Course Overview and Learning Outcomes.mp4 14.53 MB
3. Python Crash Course [Optional]/1. Python Basics Whitespace, Imports, and Lists.mp4 68.22 MB
3. Python Crash Course [Optional]/2. Python Basics Tuples and Dictionaries.mp4 30.8 MB
3. Python Crash Course [Optional]/3. Python Basics Functions and Boolean Operations.mp4 27.21 MB
3. Python Crash Course [Optional]/4. Python Basics Looping and an Exercise.mp4 19.1 MB
3. Python Crash Course [Optional]/5. Introduction to Pandas.mp4 85.99 MB
3. Python Crash Course [Optional]/6. Introduction to MatPlotLib.mp4 85.11 MB
3. Python Crash Course [Optional]/7. Introduction to Seaborn.mp4 146.72 MB
4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.mp4 118.76 MB
4. Computer Vision Basics Part 1/10. Convolutions - Sharpening and Blurring.mp4 84.09 MB
4. Computer Vision Basics Part 1/11. [Activity] Convolutions - Sharpening and Blurring.mp4 66.06 MB
4. Computer Vision Basics Part 1/12. Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).mp4 98.76 MB
4. Computer Vision Basics Part 1/13. [Activity] Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).mp4 52.56 MB
4. Computer Vision Basics Part 1/14. [Activity] Project #1 Canny Sobel and Laplace Edge Detection using Webcam.mp4 67.55 MB
4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.mp4 135.32 MB
4. Computer Vision Basics Part 1/3. what is an image and how is it digitally stored.mp4 98.55 MB
4. Computer Vision Basics Part 1/4. [Activity] View colored image and convert RGB to Gray.mp4 86.13 MB
4. Computer Vision Basics Part 1/5. [Activity] Detect lane lines in gray scale image.mp4 47.25 MB
4. Computer Vision Basics Part 1/6. [Activity] Detect lane lines in colored image.mp4 33.85 MB
4. Computer Vision Basics Part 1/7. What are the challenges of color selection technique.mp4 62.49 MB
4. Computer Vision Basics Part 1/8. Color Spaces.mp4 113.66 MB
4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4 166.92 MB
5. Computer Vision Basics Part 2/1. Image Transformation - Rotations, Translation and Resizing.mp4 75.5 MB
5. Computer Vision Basics Part 2/10. [Activity] Hough transform – practical example in python.mp4 75.83 MB
5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.mp4 117.05 MB
5. Computer Vision Basics Part 2/2. [Activity] Code to perform rotation, translation and resizing.mp4 102.05 MB
5. Computer Vision Basics Part 2/3. Image Transformations – Perspective transform.mp4 59.66 MB
5. Computer Vision Basics Part 2/4. [Activity] Perform non-affine image transformation on a traffic sign image.mp4 68.65 MB
5. Computer Vision Basics Part 2/5. Image cropping dilation and erosion.mp4 87.77 MB
5. Computer Vision Basics Part 2/6. [Activity] Code to perform Image cropping dilation and erosion.mp4 76.93 MB
5. Computer Vision Basics Part 2/7. Region of interest masking.mp4 51.92 MB
5. Computer Vision Basics Part 2/8. [Activity] Code to define the region of interest.mp4 80.31 MB
5. Computer Vision Basics Part 2/9. Hough transform theory.mp4 141.5 MB
6. Computer Vision Basics Part 3/1. Image Features and their importance for object detection.mp4 79 MB
6. Computer Vision Basics Part 3/10. [Activity] Code to obtain color histogram.mp4 40.35 MB
6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).mp4 169.49 MB
6. Computer Vision Basics Part 3/12. [Activity] Code to perform HOG Feature extraction.mp4 61.04 MB
6. Computer Vision Basics Part 3/13. Feature Extraction - SIFT, SURF, FAST and ORB.mp4 42.43 MB
6. Computer Vision Basics Part 3/14. [Activity] FASTORB Feature Extraction in OpenCV.mp4 33.83 MB
6. Computer Vision Basics Part 3/2. [Activity] Find a truck in an image manually!.mp4 42.47 MB
6. Computer Vision Basics Part 3/3. Template Matching - Find a Truck.mp4 90.26 MB
6. Computer Vision Basics Part 3/4. [Activity] Project Solution Find a Truck Using Template Matching.mp4 41.52 MB
6. Computer Vision Basics Part 3/5. Corner detection – Harris.mp4 76.91 MB
6. Computer Vision Basics Part 3/6. [Activity] Code to perform corner detection.mp4 57.08 MB
6. Computer Vision Basics Part 3/7. Image Scaling – Pyramiding updown.mp4 57.54 MB
6. Computer Vision Basics Part 3/8. [Activity] Code to perform Image pyramiding.mp4 29.17 MB
6. Computer Vision Basics Part 3/9. Histogram of colors.mp4 32.91 MB
7. Machine Learning Part 1/1. What is Machine Learning.mp4 96.3 MB
7. Machine Learning Part 1/2. Evaluating Machine Learning Systems with Cross-Validation.mp4 65.98 MB
7. Machine Learning Part 1/3. Linear Regression.mp4 35.93 MB
7. Machine Learning Part 1/4. [Activity] Linear Regression in Action.mp4 41.21 MB
7. Machine Learning Part 1/5. Logistic Regression.mp4 11.37 MB
7. Machine Learning Part 1/6. [Activity] Logistic Regression In Action.mp4 93.02 MB
7. Machine Learning Part 1/7. Decision Trees and Random Forests.mp4 61.53 MB
7. Machine Learning Part 1/8. [Activity] Decision Trees In Action.mp4 103.65 MB
8. Machine Learning Part 2/1. Bayes Theorem and Naive Bayes.mp4 76.03 MB
8. Machine Learning Part 2/2. [Activity] Naive Bayes in Action.mp4 78.78 MB
8. Machine Learning Part 2/3. Support Vector Machines (SVM) and Support Vector Classifiers (SVC).mp4 40.18 MB
8. Machine Learning Part 2/4. [Activity] Support Vector Classifiers in Action.mp4 74.35 MB
8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.mp4 119.72 MB
8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.mp4 204.08 MB
8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4 116.83 MB
9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.mp4 127.77 MB
9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.mp4 384.19 MB
9. Artificial Neural Networks/11. Example 2 - Build Multi-layer perceptron for binary classification.mp4 102.28 MB
9. Artificial Neural Networks/2. Single Neuron Perceptron Model.mp4 119.67 MB
9. Artificial Neural Networks/3. Activation Functions.mp4 42.55 MB
9. Artificial Neural Networks/4. ANN Training and dataset split.mp4 151.3 MB
9. Artificial Neural Networks/5. Practical Example - Vehicle Speed Determination.mp4 67.5 MB
9. Artificial Neural Networks/6. Code to build a perceptron for binary classification.mp4 111.6 MB
9. Artificial Neural Networks/7. Backpropagation Training.mp4 84.25 MB
9. Artificial Neural Networks/8. Code to Train a perceptron for binary classification.mp4 110.23 MB
9. Artificial Neural Networks/9. Two and Multi-layer Perceptron ANN.mp4 71.05 MB
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