Literacy Essentials: Core Concepts Deep Learning
Deep Learning is an essential skill for a data scientist these days. This course will teach you how neural networks work, where they’re used, and how you can apply them to your own problems.
What you'll learn
The availability and rise in quality of data, coupled with powerful hardware, has caused massive interest in the field of deep learning. It has become essential for a data scientist or machine learning engineer.
In this course, Literacy Essentials: Core Concepts Deep Learning, you’ll understand and appreciate the inner workings of deep learning and learn how to apply it to a problem.
First, you’ll get an overview of what deep learning is, what it is used for in the industry, and how it differs from machine learning.
Next, you’ll dive deeper into the world of deep learning and understand how the whole operation works.
Finally, you’ll have a quick look at the different types of neural networks and the problems they solve.
When you’re finished with this course, you’ll have a firm understanding of deep learning and the ability to tackle basic problems with it.
Table of contents
- Module Overview 1m
- The Perceptron: From Biological to Artificial Neurons 4m
- Activation Functions 5m
- The Design and Working of a Neural Network 5m
- Gradient Descent 4m
- Demo: Basic Dataset Exploration 5m
- Demo: Preparing the Data - Part 1 6m
- Demo: Preparing the Data - Part 2 4m
- Demo: Building, Training, and Evaluating a Neural Network 8m
- Module Summary 1m
About the author
Pratheerth is a Data Scientist who has entered the field after an eclectic mix of educational and work experiences. He has a Bachelor's in Engineering in Mechatronics from India, Masters in Engineering Management from Australia and then a couple of years of work experience as a Production Engineer in the Middle East. Then when the A.I bug bit him, he dropped everything to dedicate his life to the field. He is currently working on mentoring, course creation and freelancing as a Data Scientist.