Python Deep_neural_network示例

示例#1

 def __init__(self, model_params):
     super(Main, self).__init__(
         build_ecfp=Finger_print.ECFP(model_params),
         build_fcfp=Finger_print.FCFP(model_params),
         ecfp_attension=L.Linear(model_params['fp_length'], 1),
         fcfp_attension=L.Linear(model_params['fp_length'], 1),
         dnn=Deep_neural_network.DNN(model_params),
     )

示例#2

	def __init__(self, model_params):
		super(Main, self).__init__(
			build_ecfp = Finger_print.ECFP(model_params),
			build_fcfp = Finger_print.FCFP(model_params),
			ecfp_attension_1 = L.Linear(model_params['fp_length'], model_params['importance_l1_size']),
			fcfp_attension_1 = L.Linear(model_params['fp_length'], model_params['importance_l1_size']),
			ecfp_attension_2 = L.Linear(model_params['importance_l1_size'], model_params['importance_l2_size']),
			fcfp_attension_2 = L.Linear(model_params['importance_l1_size'], model_params['importance_l2_size']),
			ecfp_attension_3 = L.Linear(model_params['importance_l2_size'],model_params['fp_length']),
			fcfp_attension_3 = L.Linear(model_params['importance_l2_size'],model_params['fp_length']),
			dnn = Deep_neural_network.DNN(model_params),
		)

示例#3

 def __init__(self, model_params):
     initializer = chainer.initializers.HeNormal()
     super(Main, self).__init__(
         build_ecfp=Finger_print.ECFP(model_params),
         build_fcfp=Finger_print.FCFP(model_params),
         attention_layer1=L.Linear(2 * model_params['fp_length'],
                                   model_params['importance_l1_size'],
                                   initialW=initializer),
         attention_layer2=L.Linear(model_params['importance_l1_size'],
                                   model_params['importance_l2_size'],
                                   initialW=initializer),
         attention_layer3=L.Linear(model_params['importance_l2_size'],
                                   2,
                                   initialW=initializer),
         dnn=Deep_neural_network.DNN(model_params),
     )

示例#4

	def __init__(self, model_params):
		super(Main, self).__init__(
			fp = Finger_print.FP(model_params),
			dnn = Deep_neural_network.DNN(model_params),
		)

示例#5

文件： chainer_regression.py 项目： kicchi/GCN_attention

 def __init__(self, model_params):
     super(Main, self).__init__(
         build_ecfc=Finger_print.ECFC(model_params),
         dnn=Deep_neural_network.DNN(model_params),
     )