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.

• 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.