Udemy – Autonomous Cars: Deep Learning and Computer Vision in Python 2018-12

Description

Autonomous Cars: Deep Learning and Computer Vision in Python is the name of an OpenCV course, Keras, track and object detection, and traffic sign classification for self-driving cars. The propulsion industry is experiencing a new shift paradigm: from conventional human-driven cars to artificially augmented cars. Automated machines are a safe, efficient, and cost-effective solution that will redefine human transportation. Self-driving cars are projected to save half a million lives by 2035 and create huge economic opportunities of up to $ 1 trillion. The aim of this course is to provide knowledge, which is one of the key aspects for designing and developing self-driving cars.

What you will learn in Autonomous Cars: Deep Learning and Computer Vision in Python

Automatic detection of path signs in the image

Detect vehicles and pedestrians using trained handlers and SVM

Classification of Traffic Signs Using Convolutional Neural Networks

Detect other vehicles in the image using pattern matching

Build deep neural networks using Tensorflow and Keras

Analyze and visualize data using Numpy, Pandas, Matplotlib, and Seaborn

Image processing using OpenCV

Calibrate the camera in Python to correct deviations

Sharpen and blur images using convolution

Detect edges in images using Sobel, Laplace, and Canny

Deform images by moving, rotating, resizing and resizing perspective

Extract images using HOG

Classify images using dummy neural networks and deep learning

Data classification using machine learning techniques including regression, decision tree, Naive Bayes and SVM

Course information

Publisher: Udemy Instructors: Sundog Education by Frank Kane, Frank Kane, Ryan Ahmed, Mitchell Bouchard English language Level of training: basic to advanced Number of courses: 93 Duration: 12 hours and 45 minutes

Prerequisite

Windows, Mac, or Linux PC with at least 3GB free disk space.

Some prior experience in programming.

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720