Covers: theory of Convolutional Neural Network
Questions this item addresses:
  • What is a convolutional neural network?
How to use this item?

Read section 7 from the shortlist

Author(s) / creator(s) / reference(s)
Sandra Lopez
0 comment

Topological Deep Learning

Total time needed: ~20 minutes
Introduction to topological deep learning, and more specifically topological convolutional neural networks.
Potential Use Cases
TCNNs learn faster, on less data, with fewer learned parameters, and with greater generalizability and interpretability than conventional CNNs.
Who is This For ?
INTERMEDIATEML practitioners and enthusiasts who are interested in developments of TDA
Click on each of the following annotated items to see details.
OTHER 1. Convolutional Neural Network
  • What is a convolutional neural network?
10 minutes
PAPER 2. Topological Approaches to Deep Learning
  • How can we use topology to understand the internal states of a CNN?
10 minutes
ARTICLE 3. Topological Deep Learning
  • How can we use the latent manifolds of image data in the structure of convolutional neural networks?
20 minutes

Concepts Covered

0 comment