Literacy Essentials: Core Concepts Recurrent Neural Networks

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

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.