Dear SCIANN team
when I use model.train, I use adaptive weight to train, but there is another option which is called as target weight
if I use both, then can these be used simultaneously, or one of them override somehow??
like this
H_model = model.train(input_data,
model_target_data,
target_weights=[1,1,1,1,10,10,100,100]
learning_rate=([0, 10000,20000,30000,40000,50000], [0.001, 0.0005, 0.0001, 0.0001, 0.0001, 0.0001]),
batch_size=BATCH_SIZE,
epochs=EPOCHS_model,
stop_loss_value=1e-8,
stop_after=STOP_AFTER,
verbose=1,
adaptive_weights={'method': 'ntk', 'freq':5000},
)
Best Regards
Seohee Jang