6. An example (with Keras)
Create a simple model with two layers:
model = Sequential()
model.add(Dense(20, input_dim=16, init='uniform', activation='relu'))
model.add(Dense(1, init='uniform', activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
model.fit(X, Y, nb_epoch=50, batch_size=100)
Train the model: