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I'm finding the MNIST example on the MNIST branch very insightful.
In the example, the structure of model is hardcoded. What is the best way, in the ReverseDiff framework, to programmatically define the structure? For example, if I wanted the user to be able to specify at runtime the number of hidden layers and the size and activation functions of each.
Closing, as #38 was never merged and made available officially.
ReverseDiff is merely a package for reverse-mode automatic differentiation, check out eg Flux.jl (https://fluxml.ai/Flux.jl/stable/) for defining models.
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devmotion commentedon Sep 24, 2026
Closing, as #38 was never merged and made available officially.
ReverseDiff is merely a package for reverse-mode automatic differentiation, check out eg Flux.jl (https://fluxml.ai/Flux.jl/stable/) for defining models.