ECE 498NS/598NS: Deep Learning in Hardware

Preliminary Reading Material

• Notes on Algorithm Transforms [PDF]

• Notes on LMS Architectures [PDF]

• Energy-Efficient Machine Learning in Silicon: A Communications-inspired Approach [PDF]

• A Micro-Power EEG Acquisition SoC With Integrated Feature Extraction Processor for a Chronic Seizure Detection System [PDF]

• Block Implementation of Adaptive Digital Filters [PDF]

• The LMS Algorithm with Delayed Coefficient Adaptation [PDF]

• 30 Years of Adaptive Neural Networks: Perceptron, Madaline, and Backpropagation [PDF]

• Optimization Methods for Large-Scale Machine Learning [PDF]

Tutorials

• Example of a scribed lecture: [PDF]

• Commonly used datasets: MNIST, CHB-MIT Scalp EEG, MIT CBCL face, UCI Machine Learning Repository, Caltech 101, CIFAR, ImageNet

• Stanford Machine Learning Course: [link]

• Verilog Tutorial: [link]

• Pytorch Tutorial: [link]

• Verilog Sample Codes: [FIR_behavioral] [FIR_structural] [FIR_testbench]

• MATLAB Sample Code: [A fixed-point FIR filter]