Expanded Library

Literacy Essentials: Core Concepts Recurrent Neural Networks

by Abdul Rehman Yousaf

This course will teach you the core concepts of Recurrent Neural Networks.

What you'll learn

What are Recurrent Neural Networks? How do they structure with different architectures? What are they in the comparison of Convolutional Neural Networks? In this course, Literacy Essentials: Core Concepts Recurrent Neural Networks, you’ll learn the basics and important concepts of Recurrent Neural Networks (RNN). First, you’ll explore the basics of Neural Networks in general. Next, you’ll discover the basics of RNNs, specifically what they are and why they are important, along with their different types like One-to-many, as well as architectures like LSTM. Then, you will learn how to build a Recurrent Neural Network with practical application using Tensorflow. Finally, you’ll explore the strengths and the best practices of RNN implementation. When you’re finished with this course, you’ll have the skills and knowledge of Recurrent Neural networks needed to build state-of-the-art machine learning based solutions.

About the author

Abdul Rehman is the founder of Pythonist.org, 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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