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Topological Analysis of Weight Spaces (VGG16)
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Classroom Contents
Gunnar Carlsson - Topological Deep Learning
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- 1 Intro
- 2 What is Deep Learning?
- 3 Problems
- 4 Convolutional Neural Networks
- 5 Mumford Data Set (De Silva, Ishkhanov, Zomorodian, C.)
- 6 Image Patch Analysis: Primary Circle
- 7 Image Patch Analysis: Three Circle Model
- 8 Image Patch Analysis: Klein Bottle
- 9 Primary Visual Cortex
- 10 Visual Pathway
- 11 The Shape of Data
- 12 Topology
- 13 How to Build Networks - Mapper Construction
- 14 Topological Modeling
- 15 Topological Analysis of Weight Spaces (MNIST)
- 16 Topological Analysis of Weight Spaces (Cifar10)
- 17 Topological Analysis of Weight Spaces (VGG16)
- 18 Convolutional Situation
- 19 Discovered Geometry
- 20 Feature Space Modeling
- 21 Microarray Analysis of Breast Cancer Cohort
- 22 Explaining the Different Cohorts
- 23 UCSD Microbiome
- 24 Generalized Convolutional Nets
- 25 Klein Bottle Connections
- 26 Generalization
- 27 Learning on Video
- 28 Gary Marcus
