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keras subclassing model

VVY answered on March 28, 2023 Popularity 4/10 Helpfulness 6/10

answer keras subclassing model

keras subclassing model

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class xyzNet(keras.Model):
  def __init__(self):
      super().__init__()
      # specify all layers (repeatable and non-repeatable)
      self.dense1 = keras.layers.Dense(784, activation="relu")
      self.dense2 = keras.layers.Dense(10, activation="softmax") 
      
  def call(self, inputs):
    #can use for loop(advantage of subclassing[but not shown to keep it simple]) 
    #and modify the way you want
      x = self.dense1(inputs)
      x = self.dense2(x)
      return x

Popularity 4/10 Helpfulness 6/10 Language python

Source: Grepper

Tags: keras model python subclassing

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Contributed on Mar 28 2023

VVY

0 Answers Avg Quality 2/10

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keras subclassing model

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