mwitiderrick-intro-make-classifier

make_classifier.py

def make_classifier():
    classifier = Sequential()
    classiifier.add(Dense(3, kernel_initializer = ‘uniform’, activation = ‘relu’, input_dim=5))
    classiifier.add(Dense(3, kernel_initializer = ‘uniform’, activation = ‘relu’))
    classifier.add(Dense(1, kernel_initializer = ‘uniform’, activation = ‘sigmoid’))
    classifier.compile(optimizer= ‘adam’,loss = ‘binary_crossentropy’,metrics = [‘accuracy’])
    return classifier