encoder_small: Network small

Description Usage Arguments Value

View source: R/architectures.R

Description

Defines network architecture for scAlign.

Usage

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encoder_small(inputs, input_size = NULL, complexity = 3,
  emb_size = 32, l2_weight = 1e-04, dropout = TRUE,
  dropout_rate = 0.3, is_training = TRUE, batch_norm = TRUE)

Arguments

inputs

Mini-batch placeholder

input_size

Number of features per cell

complexity

Determines the depth and width of an automatically created network

emb_size

Number of hidden nodes in final (embedding) hidden layer

l2_weight

Weight on l2_regularizer

dropout_rate

Probability for dropout.

is_training

Determines if dropout and batch norm should be include in pass through network

batch_norm

Determines if batch normalization layers should be included

Value

Neural network graph op


scAlign documentation built on April 28, 2020, 6:10 p.m.