Mercurial > repos > bgruening > keras_model_config

comparison test-data/keras_batch_params04.tabular @ 9:4471d2b2de79 draft

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
author bgruening
date Tue, 13 Apr 2021 18:25:32 +0000
parents c3813c64d678
children
comparison
equal deleted inserted replaced
8:2a853a2d2e72 9:4471d2b2de79
24 @ prediction_steps prediction_steps: None 24 @ prediction_steps prediction_steps: None
25 @ rho rho: None 25 @ rho rho: None
26 @ schedule_decay schedule_decay: None 26 @ schedule_decay schedule_decay: None
27 @ seed seed: None 27 @ seed seed: None
28 @ steps_per_epoch steps_per_epoch: None 28 @ steps_per_epoch steps_per_epoch: None
29 @ validation_data validation_data: None 29 @ validation_fraction validation_fraction: 0.1
30 @ validation_steps validation_steps: None 30 @ validation_steps validation_steps: None
31 @ verbose verbose: 0 31 @ verbose verbose: 0
32 * layers_0_Dense__class_name layers_0_Dense__class_name: 'Dense' 32 * layers_0_Dense__class_name layers_0_Dense__class_name: 'Dense'
33 @ layers_0_Dense__config layers_0_Dense__config: {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None, 784], 'dtype': 'float32', 'units' 33 @ layers_0_Dense__config layers_0_Dense__config: {'name': 'dense_1', 'trainable': True, 'batch_input_shape': [None, 784], 'dtype': 'float32', 'units'
34 @ layers_0_Dense__config__activation layers_0_Dense__config__activation: 'linear' 34 @ layers_0_Dense__config__activation layers_0_Dense__config__activation: 'linear'