The Lottery Ticket Hypothesis - Michael Carbin

This course explores The Lottery Ticket Hypothesis, which focuses on finding sparse, trainable neural networks through pruning techniques. The learning outcomes include understanding how to reduce parameter counts in neural networks, improve computational performance, and train efficient subnetworks effectively. The course covers topics such as network pruning, iterative magnitude pruning, training pruned networks, and implications for machine learning methods. The intended audience for this course includes individuals interested in neural networks, machine learning, and computational performance optimization.