|
@@ -40,6 +40,7 @@ class BPHandler(object):
|
|
|
model = Sequential([
|
|
|
Dense(64, input_dim=opt.Model['input_size'], activation='relu'), # 输入层和隐藏层,10个神经元
|
|
|
Dense(32, activation='relu'), # 隐藏层,8个神经元
|
|
|
+ Dense(16, activation='relu'), # 隐藏层,8个神经元
|
|
|
Dense(1, activation='linear') # 输出层,1个神经元(用于回归任务)
|
|
|
])
|
|
|
adam = optimizers.Adam(learning_rate=opt.Model['learning_rate'], beta_1=0.9, beta_2=0.999, epsilon=1e-7, amsgrad=True)
|