This module covers the concept of associative memories in deep learning. It is a part of the Deep Learning Course at NYU's Center for Data Science. Prerequisites for this module include: Introduction to Deep Learning (module 1 of the course), Parameter Sharing (module 2 of the course), Foundations of Energy-Based Models, Advanced Energy-Based Models, and an Introduction to Data Science or a Graduate Level Machine Learning course.
Deep Learning: Associative Memories
Course Features
Videos
Lectures
Slides
Jupyter notebooks
Lessons of this Course
1
1
Duration:
2:00:28
Speaker:
This lecture covers advanced concepts of energy-based models. The lecture is a part of the Associative Memories module of the the Deep Learning Course at NYU's Center for Data Science. Prerequisites for this course include: Energy-Based Models I, Energy-Based Models II, Energy-Based Models III, Energy-Based Models IV, Energy-Based Models V, and an Introduction to Data Science or a Graduate Level Machine Learning course.
2
2
Duration:
1:12:00
Speaker:
This tutorial covers advanced concept of energy-based models. The lecture is a part of the Associative Memories module of the the Deep Learning Course at NYU's Center for Data Science.
