Face recognition softmax classifier

face_recognition_softmax_classifier.py

# Softmax regressor to classify images based on encoding 
classifier_model=Sequential()	
classifier_model.add(Dense(units=100,input_dim=x_train.shape[1],kernel_initializer='glorot_uniform'))		
classifier_model.add(BatchNormalization())		
classifier_model.add(Activation('tanh'))
classifier_model.add(Dropout(0.3))
classifier_model.add(Dense(units=10,kernel_initializer='glorot_uniform'))
classifier_model.add(BatchNormalization())
classifier_model.add(Activation('tanh'))
classifier_model.add(Dropout(0.2))
classifier_model.add(Dense(units=6,kernel_initializer='he_uniform'))
classifier_model.add(Activation('softmax'))
classifier_model.compile(loss=tf.keras.losses.SparseCategoricalCrossentropy(),optimizer='nadam',metrics=['accuracy'])