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Recurrent neural networks (RNN) Deep Learning - Part 2

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Abstract

What is a recurrent neural network (RNN)?

Questions this will address

  • What is a recurrent neural network (RNN)?
  • What are some applications of RNN?

Learning Objectives

  • Understand the difference between feedforward neural networks (FNN) and RNN
  • Learn various RNN types and architectures
  • Learn how to create a neural network using Galaxy’s deep learning tools
  • Solve a sentiment analysis problem on IMDB movie review dataset using RNN in Galaxy

Licence: Creative Commons Attribution 4.0 International

Keywords: Statistics and machine learning

Target audience: Students

Resource type: slides

Version: 1

Status: Active

Prerequisites:

  • Deep Learning (Part 1) - Feedforward neural networks (FNN)
  • Feedforward neural networks (FNN) Deep Learning - Part 1
  • Introduction to Galaxy Analyses
  • Introduction to deep learning

Learning objectives:

  • Understand the difference between feedforward neural networks (FNN) and RNN
  • Learn various RNN types and architectures
  • Learn how to create a neural network using Galaxy’s deep learning tools
  • Solve a sentiment analysis problem on IMDB movie review dataset using RNN in Galaxy

Date modified: 2021-05-31

Date published: 2021-05-31

Authors: Kaivan Kamali

Scientific topics: Statistics and probability

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