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- Foreword
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Gradients Are Not All You Need - Machine Learning Research Paper Explained
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- 1 - Foreword
- 2 - Intro & Overview
- 3 - Backpropagation through iterated systems
- 4 - Connection to the spectrum of the Jacobian
- 5 - The Reparameterization Trick
- 6 - Problems of reparameterization
- 7 - Example 1: Policy Learning in Simulation
- 8 - Example 2: Meta-Learning Optimizers
- 9 - Example 3: Disk packing
- 10 - Analysis of Jacobians
- 11 - What can be done?
- 12 - Just use Black-Box methods