Nicole Rust on Nostr: npub1akr39…c9scn Absolutely! The multiple N neurons are what defines the ...
npub1akr3986r8r2yff7zecyfm4c5cmnthkvnp3yxktp9muxj84t0m3vqzc9scn (npub1akr…9scn)
Absolutely! The multiple N neurons are what defines the dimensionality (in layer X). They are the inputs to the single neuron in the output layer (X+1) in this example.
In a multilayer (deep) neural network, dimensionality can be maintained across layers by including multiple units in each layer where their inputs are configured to span the same space (think PCA dimensions; could be rotations across layers, etc).
Absolutely! The multiple N neurons are what defines the dimensionality (in layer X). They are the inputs to the single neuron in the output layer (X+1) in this example.
In a multilayer (deep) neural network, dimensionality can be maintained across layers by including multiple units in each layer where their inputs are configured to span the same space (think PCA dimensions; could be rotations across layers, etc).