Index

B

backprop() (slugnet.layers.Dense method) backward() (slugnet.loss.BinaryCrossEntropy method) (slugnet.loss.Objective method) (slugnet.loss.SoftmaxCategoricalCrossEntropy method)

BinaryCrossEntropy (class in slugnet.loss)

C

Convolution (class in slugnet.layers)

D

Dense (class in slugnet.layers)

Dropout (class in slugnet.layers)

F

fit() (slugnet.model.Model method)

M

MeanPooling (class in slugnet.layers)

Model (class in slugnet.model)

O

Objective (class in slugnet.loss)

R

ReLU (class in slugnet.activation)

RMSProp (class in slugnet.optimizers)

S

SGD (class in slugnet.optimizers) Sigmoid (class in slugnet.activation) slugnet.activation (module) slugnet.loss (module)

slugnet.model (module) slugnet.optimizers (module) Softmax (class in slugnet.activation) SoftmaxCategoricalCrossEntropy (class in slugnet.loss)

T

Tanh (class in slugnet.activation)

transform() (slugnet.model.Model method)

U

update() (slugnet.optimizers.RMSProp method) (slugnet.optimizers.SGD method)