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Basics of Neural Networks - EfficientML.ai Lecture 2

Offered By: MIT HAN Lab via YouTube

Tags

Neural Networks Courses Artificial Intelligence Courses Machine Learning Courses Deep Learning Courses Gradient Descent Courses Optimization Algorithms Courses Activation Functions Courses Backpropagation Courses Loss Functions Courses

Course Description

Overview

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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

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