keraflow.layers.embeddings.Embedding Class Reference

Vocabulary (row) vectors looking up layer. More...

Inheritance diagram for keraflow.layers.embeddings.Embedding:

Public Member Functions
def	__init__

Detailed Description

Vocabulary (row) vectors looking up layer.

• input_shape: 2D, (nb_samples, sequence_length)
• output_shape: 3D, (nb_samples, sequence_length, output_dim)
• parameters:
  • W: (vocabulary_size, output_dim)

Constructor & Destructor Documentation

def keraflow.layers.embeddings.Embedding.__init__	(		self,
			vocabulary_size,
			output_dim,
			init = 'uniform',
			dropout = 0,
			kwargs
	)

Parameters

vocabulary_size	int. Size of the vocabulary.
output_dim	int. Length of each vocabulary vector.
init	str/function. Function to initialize trainable parameters. See Initializations.
dropout	float between 0 and 1. Fraction to drop out how many row vectors (the dropout will drop the whole row vector if it is to be dropped instead of dropping several units of the row vector.).
kwargs	see Layer.__init__.