Combinations kernels

Combinations kernels

#Hago las listas
weigths_list = ['imagenet', None]
learnRate_list = [1e-2, 1e-4, 1e-6]
optimizer_list = ['Adam', 'Adagrad', 'Adadelta']
lossFunc_list = ['kullback_leibler_divergence', 'binary_crossentropy', 'categorical_crossentropy']
combinations = []
for weigth in weigths_list:
    for learn in learnRate_list:
        for opt in optimizer_list:
            for loss in lossFunc_list:
                combinations.append({'weight':weigth, 'lr':learn, 'optimizer':opt, 'loss':loss})
                
                
combinations[1]['lr']
# Solo se pueden hacer 12 combinaciones por kernel o sesion