deep_replay_quickstart_step2.py

from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import SGD
from keras.initializers import glorot_normal, normal

model = Sequential()
model.add(Dense(input_dim=2,
                units=2,
                activation='sigmoid',
                kernel_initializer=glorot_normal(seed=42),
                name='hidden'))
model.add(Dense(units=1,
                activation='sigmoid',
                kernel_initializer=normal(seed=42),
                name='output'))

model.compile(loss='binary_crossentropy', optimizer=SGD(lr=0.05), metrics=['acc'])

model.fit(X, y, epochs=150, batch_size=16, callbacks=[replaydata])