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# Gradients vs. Activations in Neural Networks

These are two fundamental quantities in deep learning, computed in opposite passes:

## Activations
- **What**: The outputs of each layer/neuron during

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ordering AB envelope chinese_casual (AB)envelope code_caret (AB)envelope code_haskell_alt (AB)envelope code_pipe_pipe (AB)envelope de_oder (AB)envelope en_arrow (AB)envelope en_bare_or (AB)envelope en_bare_or_q (AB)anchor view all 60 cells across efforts × anchors