mlp_forward_cache: Forward Pass with Cache
In metANN: Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems
mlp_forward_cache R Documentation
Forward Pass with Cache
Description
Internal helper that stores intermediate values needed for backpropagation.
Usage
mlp_forward_cache(x, weights, architecture)
Arguments
x
Numeric input matrix.
weights
Numeric parameter vector.
architecture
MLP architecture object.
Value
A list containing activations, pre-activations, and decoded weights.
metANN documentation built on May 16, 2026, 1:06 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| mlp_forward_cache | R Documentation |
Forward Pass with Cache
Description
Internal helper that stores intermediate values needed for backpropagation.
Usage
mlp_forward_cache(x, weights, architecture)
Arguments
x |
Numeric input matrix. |
weights |
Numeric parameter vector. |
architecture |
MLP architecture object. |
Value
A list containing activations, pre-activations, and decoded weights.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.