Why this sequential model is not starting?

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I am using following code: 



input_shape = (75, 75, 3)
x = Input(input_shape)
model = BatchNormalization(axis = 3)(x)


Above code works all right. However, following code does not work: 



input_shape = (64,64,3)
model = Sequential()
model = model.add(InputLayer(input_shape=input_shape))
model = model.add(BatchNormalization(axis = 3))


But at last line, I get error: 



AttributeError: 'NoneType' object has no attribute 'add'


If I change to: 



model = model.add(Input(input_shape))


I get following error: 



TypeError: The added layer must be an instance of class Layer. 
Found: Tensor("input_1:0", shape=(?, 64, 64, 3), dtype=float32)


Where is the problem and how can it be solved?






neural-network keras







share|improve this question

























    up vote
    1
    down vote

    favorite












    I am using following code: 



    input_shape = (75, 75, 3)
    x = Input(input_shape)
    model = BatchNormalization(axis = 3)(x)


    Above code works all right. However, following code does not work: 



    input_shape = (64,64,3)
    model = Sequential()
    model = model.add(InputLayer(input_shape=input_shape))
    model = model.add(BatchNormalization(axis = 3))


    But at last line, I get error: 



    AttributeError: 'NoneType' object has no attribute 'add'


    If I change to: 



    model = model.add(Input(input_shape))


    I get following error: 



    TypeError: The added layer must be an instance of class Layer. 
    Found: Tensor("input_1:0", shape=(?, 64, 64, 3), dtype=float32)


    Where is the problem and how can it be solved?






    neural-network keras







    share|improve this question























      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      I am using following code: 



      input_shape = (75, 75, 3)
      x = Input(input_shape)
      model = BatchNormalization(axis = 3)(x)


      Above code works all right. However, following code does not work: 



      input_shape = (64,64,3)
      model = Sequential()
      model = model.add(InputLayer(input_shape=input_shape))
      model = model.add(BatchNormalization(axis = 3))


      But at last line, I get error: 



      AttributeError: 'NoneType' object has no attribute 'add'


      If I change to: 



      model = model.add(Input(input_shape))


      I get following error: 



      TypeError: The added layer must be an instance of class Layer. 
      Found: Tensor("input_1:0", shape=(?, 64, 64, 3), dtype=float32)


      Where is the problem and how can it be solved?






      neural-network keras







      share|improve this question













      I am using following code: 



      input_shape = (75, 75, 3)
      x = Input(input_shape)
      model = BatchNormalization(axis = 3)(x)


      Above code works all right. However, following code does not work: 



      input_shape = (64,64,3)
      model = Sequential()
      model = model.add(InputLayer(input_shape=input_shape))
      model = model.add(BatchNormalization(axis = 3))


      But at last line, I get error: 



      AttributeError: 'NoneType' object has no attribute 'add'


      If I change to: 



      model = model.add(Input(input_shape))


      I get following error: 



      TypeError: The added layer must be an instance of class Layer. 
      Found: Tensor("input_1:0", shape=(?, 64, 64, 3), dtype=float32)


      Where is the problem and how can it be solved?






      neural-network keras




      neural-network keras






      share|improve this question













      share|improve this question











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      share|improve this question










      asked 3 hours ago









      rnso

      2658




      2658




















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          model = models.Sequential()
          model.add(InputLayer(input_shape=input_shape))
          model.add(BatchNormalization(axis = 3))


          Assuming you did not instantiate models class of Keras.






          share|improve this answer






















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            model = models.Sequential()
            model.add(InputLayer(input_shape=input_shape))
            model.add(BatchNormalization(axis = 3))


            Assuming you did not instantiate models class of Keras.






            share|improve this answer


























              up vote
              4
              down vote













              model = models.Sequential()
              model.add(InputLayer(input_shape=input_shape))
              model.add(BatchNormalization(axis = 3))


              Assuming you did not instantiate models class of Keras.






              share|improve this answer
























                up vote
                4
                down vote










                up vote
                4
                down vote









                model = models.Sequential()
                model.add(InputLayer(input_shape=input_shape))
                model.add(BatchNormalization(axis = 3))


                Assuming you did not instantiate models class of Keras.






                share|improve this answer














                model = models.Sequential()
                model.add(InputLayer(input_shape=input_shape))
                model.add(BatchNormalization(axis = 3))


                Assuming you did not instantiate models class of Keras.







                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited 3 hours ago

























                answered 3 hours ago









                Danny

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