optimizer_sgd {keras} | R Documentation |
Stochastic gradient descent optimizer with support for momentum, learning rate decay, and Nesterov momentum.
optimizer_sgd(lr = 0.01, momentum = 0, decay = 0, nesterov = FALSE, clipnorm = NULL, clipvalue = NULL)
lr |
float >= 0. Learning rate. |
momentum |
float >= 0. Parameter that accelerates SGD in the relevant direction and dampens oscillations. |
decay |
float >= 0. Learning rate decay over each update. |
nesterov |
boolean. Whether to apply Nesterov momentum. |
clipnorm |
Gradients will be clipped when their L2 norm exceeds this value. |
clipvalue |
Gradients will be clipped when their absolute value exceeds this value. |
Optimizer for use with compile.keras.engine.training.Model
.
Other optimizers: optimizer_adadelta
,
optimizer_adagrad
,
optimizer_adamax
,
optimizer_adam
,
optimizer_nadam
,
optimizer_rmsprop