core_new

Classes

Functions

build_Unet([num_feature])

Build the Unet model.

Module Contents

core_new.build_Unet(num_feature=12)

Build the Unet model.

Construct a Unet model with LSTM layers for sequence processing.

Parameters:: num_feature (int, optional) – The number of input features. Default is 12.
Returns:: model – The constructed Unet model.
Return type:: keras.Model

class core_new.Unet(num_feature=12)

model

compile(optimizer, loss, **kwargs)

info()

train(*args, **kwargs)

predict(x)

summary()

load_weights(filename)

save_model(modelname)