backprop: Backpropagation
In simpleMLP: Simple Multilayer Perceptron Neural Network
Description
Usage
Arguments
Value
Description
Runs a backwards pass through the network.
Usage
1
backprop(model, error, forward_pass)
Arguments
model
list of all the weights and biases
error
gradients to the output of the network
forward_pass
intermediate values from the forward pass
Value
list of derivatives after the backwards pass
simpleMLP documentation built on March 28, 2021, 9:07 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.
Description Usage Arguments Value
Description
Runs a backwards pass through the network.
Usage
1 | backprop(model, error, forward_pass)
|
Arguments
model |
list of all the weights and biases |
error |
gradients to the output of the network |
forward_pass |
intermediate values from the forward pass |
Value
list of derivatives after the backwards pass
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.