hands-on tutorial

Hands-on for 'Deep Learning (Part 1) - Feedforward neural networks (FNN)' tutorial

View material

The questions this addresses are:
- What is a feedforward neural network (FNN)?
- What are some applications of FNN?

The objectives are:
- Understand the inspiration for neural networks
- Learn various activation functions, and classification/regression problems solved by neural networks
- Discuss various cost/loss functions and the backpropagation algorithm
- Learn how to create a neural network using Galaxy's deep learning tools
- Solve a simple regression problem, car purchase price prediction, via FNN in Galaxy

Licence: Creative Commons Attribution 4.0 International

Keywords: statistics

Target audience: Students

Resource type: hands-on tutorial

Authors: Kaivan Kamali

Contributors: Kaivan Kamali

Activity log