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Introductory slides: restored the features slide from original presentation
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docs/OCANNL-features.svg

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docs/slides-basics_backprop_training_codegen.md

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{pause down=data-parallel-code}
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{pause up .block title="OCANNL Features"}
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> * **Declarative** differentiable tensors.
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> * **Imperative** array manipulation language.
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> * Flexibly combines these two layers.
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> * Very **concise** notations.
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> * Powerful **shape inference** integrated with expressive "generalized einsum" indexing.
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> * **Backprop** is handled automatically.
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> * **Generates optimized code**.
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> * Very little abstraction fluff, **close to the metal**.
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> * **Debuggable**.
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![two layers, little abstraction fluff, powerful shape inference](OCANNL-features.svg)
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{pause .remark title="Thank You!"}
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OCANNL is available at [github.com/ahrefs/ocannl](https://github.com/ahrefs/ocannl)

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