Skip to content

Imperial-College-Data-Science-Society/Neural-Networks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Neural Networks

ICDSS Machine Learning Workshop Series: Neural Networks

Getting Started

macOS

  1. source scripts/setup.sh

Neural Networks

ICDSS Machine Learning Workshop Series: Neural Networks

Prerequisites

  • Linear Models
  • Scientific Python (NumPy & SciPy)
  • Calculus (Chain Rule, Partial Derivatives)
  • Linear Algebra (Matrix Operations)

Overview

In this workshop we will cover the fundamental theory and applications of Neural Networks. We will derive the Bacpropagation Learning Algorithm and implement a network using NumPy, exploiting computational graph theory. The Neural Network approximator will be compared to a simple Linear Model on a binary classification application for Computer Vision.

Agenda

Theory

Neural Networks

Applications

Computer Vision: Binary Classification

Codelab

Neural Network from Scratch (NumPy)

Setup

macOS
  1. Follow Python setup environment, according to Docs repocitory.
  2. Run source scripts/setup.sh command.

Resources

Academia

Tutorials

Videos

License

MIT License

Copyright (c) 2017 ICDSS

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.