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Topological Deep Learning
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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 ?
ML practitioners and enthusiasts who are interested in developments of TDA
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1. Convolutional Neural Network
What is a convolutional neural network?
2. Topological Approaches to Deep Learning
How can we use topology to understand the internal states of a CNN?
3. Topological Deep Learning
How can we use the latent manifolds of image data in the structure of convolutional neural networks?