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

Licence: MIT license
ICDSS Machine Learning Workshop Series: Neural Networks

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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

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