Overview
Dive into the fundamentals of neural networks with this comprehensive lecture from MIT's 6.5940 course, EfficientML.ai. Delivered by Professor Song Han, the session covers essential concepts and principles underlying neural network architecture and functionality. Explore topics such as network layers, activation functions, backpropagation, and optimization techniques. Gain valuable insights into the building blocks of deep learning and their practical applications in machine learning and artificial intelligence. Access accompanying slides for enhanced learning and visual aids. Whether you're a beginner or looking to refresh your knowledge, this lecture provides a solid foundation for understanding the core elements of neural networks in the context of efficient machine learning.
Syllabus
EfficientML.ai Lecture 2 - Basics of Neural Networks (MIT 6.5940, Fall 2023)
Taught by
MIT HAN Lab