Introduction to Machine Learning: Neural Network Architectures

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/