Feed Forward Model
Creating a layer
Function Signature def add_dense( neurons: int, activation: str = 'sigmoid', drop...
Configuring Loss/Optimizers
Function Signature def config( optimizer: str = 'gradient descent', loss: str = 'mean ...
Training a network
Function Signature def train_model( train_inputs: np.ndarray, train_targets: np.ndarra...
Running data through a network
Function Signature def run( self, inputs: np.ndarray ) -> np.ndarray: Parameters ...
Viewing network information
Function Signature def specs(self) -> str: Return Value output (str): A string representatio...
Graphing
Function Signature def graph(self, metric: str = "cost") -> None: Parameters metric (str, op...
Saving a Model
Function Signature def save(self, file_location: str) -> None: Parameters file_locatio...
Loading a Model
Function Signature def load(self, file_location: str) -> None: Parameters file_locatio...