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