|
|
|
@ -181,7 +181,7 @@ images = data_layer(name='pixel', dims=[BATCH_SIZE, 784])
|
|
|
|
|
labels = data_layer(name='label', dims=[BATCH_SIZE])
|
|
|
|
|
fc1 = fc_layer(net=forward_net, input=images, size=100, act="sigmoid")
|
|
|
|
|
fc2 = fc_layer(net=forward_net, input=fc1, size=100, act="sigmoid")
|
|
|
|
|
predict = fc_layer(net=forward_net, input=fc2, size=100, act="softmax")
|
|
|
|
|
predict = fc_layer(net=forward_net, input=fc2, size=10, act="softmax")
|
|
|
|
|
cost = cross_entropy_layer(net=forward_net, input=predict, label=labels)
|
|
|
|
|
|
|
|
|
|
init_net.complete_add_op(True)
|
|
|
|
|