cuvis_ai.utils.nn_config.Adam

class cuvis_ai.utils.nn_config.Adam(lr: float = 0.001, alpha: float = 0.0001, beta_1: float = 0.9, beta_2: float = 0.999, epsilon: float = 1e-08)[source]

Bases: Optimizer

__init__(lr: float = 0.001, alpha: float = 0.0001, beta_1: float = 0.9, beta_2: float = 0.999, epsilon: float = 1e-08) → None

Methods

__init__([lr, alpha, beta_1, beta_2, epsilon])

Attributes

`alpha`
`args`
`beta_1`
`beta_2`
`epsilon`
`lr`
`name`
`pytorch_args`
`sklearn_args`

alpha: float = 0.0001

property args

beta_1: float = 0.9

beta_2: float = 0.999

epsilon: float = 1e-08

lr: float = 0.001

property name

property pytorch_args

property sklearn_args