EECS 253
Machine Learning for Signal Processing
Machine learning and computational neuroscience methods for signal processing. Theory and applications are described, as well as practical programming methods in Python using Keras and TensorFlow 2.
Prerequisites & course information
Machine learning and computational neuroscience methods for signal processing. Theory and applications are described, as well as practical programming methods in Python using Keras and TensorFlow 2.
Sources
- Course catalogue ↗2026-2027