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Feedforward neural networks (FNN) Deep Learning - Part 1

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Abstract

What is an artificial neural network?

Questions this will address

  • What is a feedforward neural network (FNN)?
  • What are some applications of FNN?

Learning Objectives

  • Understand the inspiration for neural networks
  • Learn activation functions & various problems solved by neural networks
  • Discuss various loss/cost functions and backpropagation algorithm
  • Learn how to create a neural network using Galaxy’s deep learning tools
  • Solve a sample regression problem via FNN in Galaxy

Licence: Creative Commons Attribution 4.0 International

Keywords: Statistics and machine learning

Target audience: Students

Resource type: slides

Version: 2

Status: Active

Prerequisites:

  • Introduction to Galaxy Analyses
  • Introduction to deep learning

Learning objectives:

  • Understand the inspiration for neural networks
  • Learn activation functions & various problems solved by neural networks
  • Discuss various loss/cost functions and backpropagation algorithm
  • Learn how to create a neural network using Galaxy’s deep learning tools
  • Solve a sample regression problem via FNN in Galaxy

Date modified: 2021-07-27

Date published: 2021-06-02

Authors: Kaivan Kamali

Contributors: Kaivan Kamali

Scientific topics: Statistics and probability

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