My following is the complete ReXNet network code: import keras from keras.models import Sequential from keras.layers import Dense
define model
model = Sequential()
Add a hidden layer with an input dimension of 1
model.add(Dense(1, input_dim = 1, activation = 'relu'))
compile model
model.compile(loss = 'mse', optimizer = 'adam', metrics = ['accuracy'])