# Y_train, Y_test = Y_train[::100], Y_test[::100]
sess = tf.Session()
sess.run(tf.global_variables_initializer())
# Training
classifier = DBN(output_act_func='softmax',
hidden_act_func='relu',
loss_fuc='cross_entropy',
use_for='classification',
dbn_lr=1e-3,
dbn_epochs=100,
dbn_struct=[784, 100, 100,10],
rbm_h_type='bin',
rbm_epochs=10,
batch_size=32,
cd_k=1,
rbm_lr=1e-3)
classifier.build_dbn()
classifier.train_dbn(X_train, Y_train,sess)
# Test
Y_pred = classifier.test_dbn(X_test, Y_test,sess)
#import matplotlib.pyplot as plt
#PX=range(0,len(Y_pred))
#plt.figure(1) # 选择图表1
#plt.plot(PX, Y_test,'r')
#plt.plot(PX, Y_pred,'b')
#plt.show()
