Udemy - Machine Learning and Self-Driving Cars Bootcamp with Python

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[ DevCourseWeb.com ] Udemy - Machine Learning and Self-Driving Cars Bootcamp with Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Why This Course.mp4 (127.8 MB)
    • 2. How to Approach This Course.mp4 (26.4 MB)
    • 3. Make it Engaging.mp4 (17.4 MB)
    • 4. Get the Course Code for Practical Lectures.html (1.6 KB)
    10. Control Theory
    • 1. Why Learn Control Theory.mp4 (86.5 MB)
    • 10. PID Controller - Why is it use SO much.mp4 (63.9 MB)
    • 11. [Advanced] Paper PID Controller Design.html (0.4 KB)
    • 2. Control Systems Map.mp4 (58.5 MB)
    • 3. Stability - Introduction.mp4 (55.8 MB)
    • 4. Stability - Missing in Machine Learning.mp4 (53.8 MB)
    • 5. Open and Closed Loop Control.mp4 (36.1 MB)
    • 6. Closed Loop Control - Cruise Control.mp4 (60.5 MB)
    • 7. PID - Introduction.mp4 (86.6 MB)
    • 8. PID Controller - Deep Dive.mp4 (81.3 MB)
    • 9. PID Controller - How to Tune it.mp4 (80.4 MB)
    2. Python [Optional]
    • 1. Installation.mp4 (35.8 MB)
    • 2. Types in Python.mp4 (19.4 MB)
    • 3. List & Map.mp4 (32.8 MB)
    • 4. Operations.mp4 (13.5 MB)
    • 5. Statements.mp4 (51.1 MB)
    • 6. Functions.mp4 (17.3 MB)
    • 6.1 S2V6 Functions.mp4 (6.6 MB)
    • 7. Object Oriented Programming.html (1.4 KB)
    • 8. Classes.mp4 (36.7 MB)
    • 9. Libraries Modules.mp4 (29.4 MB)
    3. Python's Essential Libraries
    • 1. Introduction to Python Libraries.mp4 (18.1 MB)
    • 2. Numpy.mp4 (44.3 MB)
    • 3. Matplotlib.mp4 (37.0 MB)
    • 4. OpenCV.mp4 (72.0 MB)
    • 5. Other Libraries.mp4 (32.3 MB)
    4. Computer Vision
    • 1. Introduction to Computer Vision.mp4 (10.6 MB)
    • 10. Webots too slow.html (0.7 KB)
    • 11. Webots Code Explained.mp4 (99.3 MB)
    • 12. [Exercise] Your Line Following Algorithm!.html (1.6 KB)
    • 13. [Advanced] How to Read a Paper.mp4 (106.3 MB)
    • 14. [Advanced] Paper SIFT.html (1.1 KB)
    • 2. How Computers See Images.mp4 (42.6 MB)
    • 3. Kernel & Convolution.mp4 (54.3 MB)
    • 4. Image Processing with Kernels.mp4 (59.1 MB)
    • 5. Thresholding.mp4 (41.5 MB)
    • 6. Road Segmentation.mp4 (59.7 MB)
    • 7. Why Webots.html (0.7 KB)
    • 8. How to Install Webots in Windows.html (1.8 KB)
    • 9. How to Install Webots in Linux.html (2.3 KB)
    5. Machine Learning
    • 1. What's Machine Learning.mp4 (26.0 MB)
    • 2. Train, Predict & Evaluate.mp4 (24.3 MB)
    • 3. Types of Machine Learning.mp4 (21.7 MB)
    • 4. ML for Self-Driving Cars.mp4 (19.3 MB)
    6. Machine Learning Hands-On
    • 1. Machine Learning Hands-On Introduction.mp4 (16.7 MB)
    • 10. Bias Vs Variance.mp4 (36.6 MB)
    • 11. [Advanced] Paper SVM.html (0.7 KB)
    • 2. Feature Engineering.mp4 (31.8 MB)
    • 3. HOG.mp4 (103.4 MB)
    • 4. SVM.mp4 (42.3 MB)
    • 5. Performance Metrics.mp4 (30.5 MB)
    • 6. Download the Dataset.html (0.8 KB)
    • 7. Code Explanation.mp4 (76.4 MB)
    • 8. [Exercise] Modify the code.html (0.9 KB)
    • 9. Useful ML Models.mp4 (61.4 MB)
    7. Collision Avoidance
    • 1. Collision Avoidance Introduction.mp4 (11.2 MB)
    • 2. Ranging Sensors.mp4 (51.1 MB)
    • 3. Cameras.mp4 (17.4 MB)
    • 4. Simulation.mp4 (109.9 MB)
    • 5. My Solution.mp4 (56.4 MB)
    • 6. [Exercise] Your Solution.html (0.9 KB)
    • 7. Path Planning.mp4 (38.1 MB)
    • 8. [Advanced] RRT Code.html (0.6 KB)
    8. Deep Learning
    • 1. Deep Learning Introduction.mp4 (14.6 MB)
    • 2. How do Neural Networks Work.mp4 (59.6 MB)
    • 3. How does a Neural Network Learn.mp4 (39.8 MB)
    • 4. Convolutional Neural Networks.mp4 (56.1 MB)
    • 5. Code Example.mp4 (53.9 MB)
    9. Deep Learning Hands-On
    • 1. Deep Learning Hands-On Introduction.mp4 (12.3 MB)
    • 2. Creating a Dataset.mp4 (56.1 MB)
    • 3. Training.mp4 (37.2 MB)
    • 4. See it drive!.mp4 (84.2 MB)
    • 5. [Exercise] Train it yourself!.html (0.9 KB)
    • 6. [Advanced] AlexNet.html (0.6 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Machine Learning & Self-Driving Cars Bootcamp with Python



https://DevCourseWeb.com

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.87 GB | Duration: 6h 30m

Combine the power of Machine Learning, Deep Learning and Computer Vision to make a Self-Driving Car!

What you'll learn
Learn how to apply Machine Learning algorithms to develop a Self-Driving Car from scratch
Simulate a Self-Driving car in a realistic environment using multiple techniques (Computer Vision, Convolution Neural Networks, ...)
Understand how Self Driving Cars work (sensors, actuators, speed control, ...)
Learn about Computer Vision in a practical way, starting from simple examples until you are able to create an algorithm to drive a Self-Driving Car
Gentle introduction to Machine Learning, all the key concepts are presented in an intuitive way
Explain why Deep Learning is such a powerful ch and use it to make the car drive like a human (Behavioural Cloning)
Code Deep Convolutional Neural Networks with Keras (the most popular library)
Build, train and evaluate multiple models, from classic Machine Learning to Deep Neural Networks
How to code in Python starting from the very beginning
Python libraires: NumPy, Sklearn (Scikit-Learn), Keras, OpenCV, Matplotlib

Requirements
No programming experience needed. You will learn everything you'll need to know.



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Udemy - Machine Learning and Self-Driving Cars Bootcamp with Python

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2.9 GB
seeders:9
leechers:8
Udemy - Machine Learning and Self-Driving Cars Bootcamp with Python

Torrent hash: 157F947B776FFC56AAC15CD6353BCE3F3BA05BC7