Covers: theory of Convolutional Neural Network
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Questions this item addresses:
  • What is a convolutional neural network?
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Read section 7 from the shortlist

Author(s) / creator(s) / reference(s)
Sandra Lopez
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Topological Deep Learning

Contributors
Total time needed: ~20 minutes
Objectives
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.
Resources3/3
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

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