backward_dynamics: Internal function to solve the backwards dynamics of the...
In tfNeuralODE: Create Neural Ordinary Differential Equations with 'tensorflow'
backward_dynamics R Documentation
Internal function to solve the backwards dynamics of the Neural ODE
Description
Internal function to solve the backwards dynamics of the Neural ODE
Usage
backward_dynamics(state, model)
Arguments
state
The current state of the differential equation
model
The neural network that defines the Neural ODE.
Value
Returns a list of the number 1, the new backwards state of the differential equation and the gradients calculated for the network.
tfNeuralODE documentation built on Oct. 17, 2023, 1:10 a.m.
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| backward_dynamics | R Documentation |
Internal function to solve the backwards dynamics of the Neural ODE
Description
Internal function to solve the backwards dynamics of the Neural ODE
Usage
backward_dynamics(state, model)
Arguments
state |
The current state of the differential equation |
model |
The neural network that defines the Neural ODE. |
Value
Returns a list of the number 1, the new backwards state of the differential equation and the gradients calculated for the network.
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.
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