from keras.models import Sequential
from keras.layers import Dense, Dropout, LeakyReLU
from keras.optimizers import adam

ad = adam()

size_factor=128

predictor=Sequential()

predictor.add(Dense(4*size_factor, input_dim=10))
predictor.add(LeakyReLU())

predictor.add(Dense(4*size_factor))
predictor.add(LeakyReLU())

predictor.add(Dense(4*size_factor))
predictor.add(LeakyReLU())
predictor.add(Dropout(0.3))

predictor.add(Dense(2*size_factor))
predictor.add(LeakyReLU())
predictor.add(Dropout(0.3))


predictor.add(Dense(size_factor))
predictor.add(LeakyReLU())
predictor.add(Dropout(0.3))

predictor.add(Dense(1, activation='sigmoid'))

predictor.compile(adam(),loss='binary_crossentropy')