text: # -*- coding:utf-8 -*-  
  from keras.models import Sequential
  from keras.layers import Dense, Activation
  from keras.optimizers import SGD
  import numpy as np
  import conf
  import src
  
  
  __author__ = "JOHNKYON"
  
  model = Sequential()
  
  model.add(Dense(output_dim=64, input_dim=100))
  model.add(Activation("relu"))
  model.add(Dense(output_dim=10))
  model.add(Activation("softmax"))
  
  model.compile(loss='categorical_crossentropy', optimizer='sgd', metrics=['accuracy'])
  
  model.compile(loss='categorical_crossentropy', optimizer=SGD(lr=0.01, momentum=0.9, nesterov=True))
  
  model.fit()