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Literacy Essentials: Core Concepts Neural Network

by Abdul Rehman Yousaf

This course will teach the core concepts of artificial neural networks: what they are and how they structure along with the vectorization of neural networks to attain optimal performance.

What you'll learn

Deep learning systems are capable of handling data in abundant volumes. As data is being generated at a rate that exceeds our expectations, the importance of deep learning is becoming more significant and prevailing in industries across the world. In this course, Literacy Essentials: Core Concepts Neural Network, you'll learn the basics of Artificial Neural Networks. First, you’ll explore a brief history of neural networks, specifically how they are inspired from biological neurons. Next, you’ll discover the basics of the structure of a neuron, how it connects to other neurons to form a neural network. Finally, you'll understand vectorization and how it can help us to improve the performance of neural networks. When you’re finished with this course, you’ll have the skills and knowledge of the core concepts of neural networks needed as the foundation to implement deep learning.

About the author

Abdul Rehman is the founder of, a software consulting, training, and application development company. Currently, he is working as a Senior Machine Learning Engineer at Nexthon Technologies where he built several amazing projects powered with artificial intelligence. Prior to that, he worked as a Cloud Solution Architect, building powerful, secure, and scalable infrastructures on various cloud vendors like Google Cloud Platform and AWS. During both of these roles, he used Python as ... more

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