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.

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.

• Course Overview 1min
• Introduction to Deep Learning 20mins
• The Inner Workings of Deep Learning 42mins
• Types of Neural Networks and Their Uses 13mins