Introduction to neural network based machine learning techniques. Overview includes:
– Description of deep learning as curve fitting process
– Development and implementation of leading algorithms for deep learning
– Overview of back propagation method for enabling optimization
– Overview of stochastic gradient descent optimization frameworks required for learning
Additional lectures can be found at:
faculty.washington.edu/kutz/