In the current era of artificial intelligence, a solid understanding of neural networks is essential for anyone looking to keep their skills fresh. In this course, Neural Networks Demystified for Data Professionals, you’ll gain an understanding of neural networks and how they’re used in real-world applications. First, you’ll explore the fundamental concepts and terminology behind neural networks and how they came to be. Next, you’ll discover the basic building blocks and architectures of a neural network and how they learn—such as nodes, layers, input, weights, and activation functions. Finally, you’ll learn about the applications and impact of deep learning in various industries. When you’re finished with this course, you’ll have the foundational knowledge of neural networks needed to pursue other studies in artificial intelligence.
Author Name: Amber Israelsen
Author Description:
Amber has been a software developer and technical trainer for over two decades, sharing her expertise in AI, machine learning, AWS, and Power Apps with students around the world. She has a knack for making complex tech topics easy to grasp, whether you’re a developer, designer, or business professional. Amber holds certifications in machine learning, AWS, and various Microsoft technologies, including her experience as a former Microsoft Certified Trainer. With a strong background in visual com… more

Table of Contents

• Course Overview
  1min
• So, What Is a Neural Network and How Did We Get Here?
  12mins
• The Building Blocks of a Neural Network
  10mins