AI/DeepLearning

레이어들(Layers)

yunajoe 2022. 9. 30. 14:10

덴스(Dense Layesr) 

https://sevillabk.github.io/Dense/

 

임베딩(Embedding Laeyrs)

keras.layers.Embedding(input_dim, output_dim, embeddings_initializer='uniform', embeddings_regularizer=None, activity_regularizer=None, embeddings_constraint=None, mask_zero=False, input_length=None)
Turns positive integers (indexes) into dense vectors of fixed size.

ex) e.g. [[4], [20]] -> [[0.25, 0.1], [0.6, -0.2]]


# Input shape

2D tensor with shape: (batch_size, input_length)

# Output shape

3D tensor with shape: (batch_size, input_length, output_dim)



Arguments
- input_dim: Integer. Size of the vocabulary,  i.e. maximum integer index + 1
- output_dim: Integer. Dimension of the dense embedding
- input_length: Length of input sequences, when it is constant