/intro-to-deeplearning

Presentation giving a high-level overview of deep learning, with practical code examples

Primary LanguageCSSMIT LicenseMIT

Introduction to Deep Learning

View Presentation

Presentation which gives a high-level overview of deep learning, using coding examples to illustrate how to apply deep learning in practice.

Topics covered:

  • machine learning definition
  • growth of adoption
  • supervised learning
    • classification
    • regression
    • feature extraction
    • model types and overfitting
  • neural networks
    • perceptron
    • activation functions
    • feed-forward neural networks
    • backpropagation
    • vanishing gradient problem
  • deep learning
    • training deep networks
    • types of deep networks
    • applying deep learning to high-energy physics problem

Running Presentation

You can also run the presentation on a local web server. Clone this repository and run the presentation like so:

npm install
grunt serve

The presentation can now be accessed on localhost:8080. Note that this web application is configured to bind to hostname 0.0.0.0, which means that once the Grunt server is running, it will be accessible from external hosts as well (using the current host's public IP address).