optimizer_sgd: Stochastic gradient descent optimizer
In dfalbel/keras: R Interface to 'Keras'

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.