====== The Impact of Deep Learning ======

Provides examples of where Deep Learning is having a big impact.

  * Medical Diagnosis - Deep learning allows for the diagnosis of conditions based on images
  * Protein Structure - Alphafold is able to generate a 3D protein structure from a sequence of amino acids
  * Image Synthesis - New, unique, images can be generated based on a training set.
  * Large Language Models - Generate text, the basis for ChatGPT, etc.

====== A Tutorial Example ======

  * Synthetic data is generated from the function t(x) -> sin(2*PI*x).
    * The goal is to train a model taht can predict values for t(x).
  * A simple linear model is created using curve fitting.
  * The polynomial function y(x,w) is used as a linear function by fixing the w parameter.
  * The sum of squares is used as a simple error function, giving is E(w).
  * The curve fitting problem is solved by selecting the value for w where E(w) is as small as possible.
  * 

====== A Brief History of Machine Learning ======