keras: optimizer_adadelta – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

optimizer_adadelta

Adadelta optimizer.

optimizer_adadelta(
  lr = 1,
  rho = 0.95,
  epsilon = NULL,
  decay = 0,
  clipnorm = NULL,
  clipvalue = NULL
)

`lr`	float >= 0. Learning rate.
`rho`	float >= 0. Decay factor.
`epsilon`	float >= 0. Fuzz factor. If `NULL`, defaults to `k_epsilon()`.
`decay`	float >= 0. Learning rate decay over each update.
`clipnorm`	Gradients will be clipped when their L2 norm exceeds this value.
`clipvalue`	Gradients will be clipped when their absolute value exceeds this value.

It is recommended to leave the parameters of this optimizer at their default values.