In the Flux docs for train! it says In case datapoints d are of numeric array type, assume no splatting is needed and compute the gradient of loss(d) . What does “splatting” mean here? I am guessing that what this means is that, if the data are expressed as matrices (dimensions X datapoints) …

What is "splatting" in flux (loss?)?

Tamas_Papp April 14, 2020, 6:16am 2

It may not be specific to Flux, just the splat operator ....

Topic		Replies	Views
What datatypes can you pass into train! Machine Learning	3	446	June 18, 2019
Specifying loss functions in Flux.jl Machine Learning question , package , flux	8	1969	August 8, 2020
Custom Flux loss function `culiteral_pow()` error Machine Learning flux	2	805	August 18, 2019
Very basic Flux problem Machine Learning	1	1559	June 25, 2019
Flux - support for mini-batches Machine Learning flux	2	2976	September 20, 2018