Discover Core Machine Learning Concepts & Build An Artificial Neural Network!
This course will get you started on two of the hottest topics in Machine Learning. Go beyond the hype, and get started learning how to design and implement a simple computer vision use-case and so much more! With nearly 2 hours of expert-led instruction, by the time you’ve completed this course, you will have a firm grasp on the theory underlying both deep learning and computer vision.
Deep Learning & Computer Vision: an Introduction is the perfect course for students who want exposure to Machine Learning. This course will cover topics such as: Artificial Neural Networks, how to install Python, and Handwritten Digit Recognition.
What the course will teach you:
- Design and Implement a simple computer vision use-case: digit recognition
- Confidently move on to more complex and comprehensive material on these topics
- Grasp the theory underlying deep learning and computer vision
- Understand use-cases for computer vision as well as deep learning
- Installing Python: Anaconda & PIP
- Much More..
AI Machine Learning – Deep Learning & Computer Vision: An Introduction
Course Length: 1.5 Hours
Chapter 01: Look Long, Look Deep
Lesson 01: Introduction: You, This Course &Us!
Lesson 02: Artificial Neural Networks: Perceptrons Introduced
Lesson 03: Computer Vision: an Introduction
Lesson 04: Perceptron Revisited
Lesson 05: Deep Learning Networks: an Introduction
Lesson 06: Installing Python: Anaconda & PIP
Lesson 07: Code Along: Handwritten Digit Recognition – I
Lesson 08: Code Along : Handwritten Digit Recognition – II
Lesson 09: Code Along: Handwritten Digit Recognition – III
Minimum specifications for the computer are:
Microsoft Windows XP, or later
Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari)
OSX/iOS 6 or later
Modern and up to date Browser (Firefox, Chrome, Safari)
Internet bandwidth of 1Mb or faster
Flash player or a browser with HTML5 video capabilities (We recommend Google Chrome)