Deep Learning is a branch of Machine Learning based on Neural Networks. In this course, Literacy Essentials: Core Concepts Data Normalization, you’ll learn to use Normalization to place your dataset in an even playing field such that it can be easily analyzed. First, you’ll gain an understanding of why Normalization is needed in Deep Learning and in Machine Learning as a whole. Next, you’ll discover the different Normalization techniques available in Deep Learning. Finally, you’ll learn how to Implement these techniques by taking a look at scenarios. When you’re finished with this course, you’ll have the skills and knowledge of the Core Concepts of Data Normalization needed to understand Deep Learning.
Author Name: Dayo Bamikole
Author Description:
Dayo is a Technology Specialist with expertise in Cloud Data Solutions, Artificial intelligence, and Web Development. Dayo has traveled around the United States delivering workshops on technical services in the workplace, in over 35 states, as well as Europe. The audience for these workshops varies from Database Administrators to Software Developers. Ifedayo holds several certifications in Azure, such as: Azure Data Engineer, Azure Data Scientist, Azure AI Engineer, Google Cloud Fundamentals and… more

Table of Contents

• Course Overview
  1min
• Evaluate Normalization Techniques for Deep Learning
  12mins
• Understand Types of Normalization
  13mins
• Case Study on Appropriate Normalization Technique
  6mins