ECE 598 NS: Machine Learning in Silicon

Reading Material

Preliminaries

• 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

• 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]
• Verilog sample codes: [FIR_behavioral] [FIR_structural][FIR_testbench]
• MATLAB sample codes: [A fixed-point FIR filter]