Skip to main content

Table 7 Values of hyperparameters used in DEGnext model

From: DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learning

Hyperparameters

First level training

Fine-tuning

Epoch

50

31

Loss function

CrossEntropyLoss()

BCEWithLogitsLoss()

Learning-rate

1e−4

1e−4

Betas

(0.9, 0.999)

(0.9, 0.999)

eps

1e−08

1e−08

Weight-decay

0

0

Batch-size

256

64

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us