(Old) Lecture 3 | Perceptrons and Gradient Descent

Carnegie Mellon University
Course: 11-785, Intro to Deep Learning
Offering: Spring 2019
Slides: http://deeplearning.cs.cmu.edu/slides.spring19/lec3.learning.pdf

For more information, please visit: http://deeplearning.cs.cmu.edu/

Content:
• Training a neural network
• Perceptron learning rule
• Empirical Risk Minimization
• Optimization by gradient descent

YouTube Source for this AI Video

AI video(s) you might be interested in …