The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.
Expected behavior
A clear description of what you expected to happen.
Additional context: Alex suggested to try injecting embedding layers into the NAS. Noting that embedding layers only take discrete int inputs, I added that bucketization of the output of a Dense() or Concatenate() layer before the embedding is needed to make this work.
Here we can try this approach.
Suggested Labels (If you don't know, that's ok): kind/enhancement kind/performance
Kind of issue: enhancement
Expected behavior A clear description of what you expected to happen.
Additional context: Alex suggested to try injecting embedding layers into the NAS. Noting that embedding layers only take discrete int inputs, I added that bucketization of the output of a Dense() or Concatenate() layer before the embedding is needed to make this work.
Here we can try this approach.
Suggested Labels (If you don't know, that's ok): kind/enhancement kind/performance