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Classroom Contents
Integrating Constraints into Deep Learning Architectures with Structured Layers
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- 1 Introduction
- 2 Deep Equilibrium Models
- 3 Depth
- 4 Agenda
- 5 Explicit Layers
- 6 Implicit Layers
- 7 Sat Optimization
- 8 Implicit Function Theorem
- 9 Takeaway
- 10 Proposed Class of Structured Layers
- 11 Weight Tied Input Injected Networks
- 12 Expanding Depth to Capture Both Layers
- 13 Deep Networks
- 14 Summary
- 15 Stacking Layers
- 16 Do they exist
- 17 Equilibrium point
- 18 Residual point
- 19 Sequence modeling
- 20 Smallscale benchmarks
