Getting Started with Automatic Differentiation

Explore automatic differentiation in Python through this 19-minute PyCon US talk. Gain intuition for derivatives and gradients, and discover their applications in optimization and computational art. Learn to use libraries like jax, TensorFlow, and PyTorch for automatic differentiation. Understand the concept of rate of change, see how to plot derivatives, detect edges in images, and implement gradient descent. Compare different methods for computing derivatives in Python and their respective advantages.

Intro
WRITING A NUMERIC PROGRAM
RATE OF CHANGE AS A SLOPE
AUTOMATIC DIFFERENTIATION IN PYTHON
PLOTTING DERIVATIVES
EDGES IN IMAGES
OPTIMIZATION WITH JAX
GRADIENT DESCENT