Mercurial > repos > bgruening > sklearn_discriminant_classifier
view test-data/keras02.json @ 40:4335cec181ba draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f031d8ddfb73cec24572648666ac44ee47f08aad
| author | bgruening |
|---|---|
| date | Thu, 11 Aug 2022 08:53:29 +0000 |
| parents | 64b771b1471a |
| children | d769d83ec796 |
line wrap: on
line source
{ "class_name": "Model", "config": { "name": "model_1", "layers": [ { "name": "main_input", "class_name": "InputLayer", "config": { "batch_input_shape": [ null, 100 ], "dtype": "int32", "sparse": false, "name": "main_input" }, "inbound_nodes": [] }, { "name": "embedding_1", "class_name": "Embedding", "config": { "name": "embedding_1", "trainable": true, "batch_input_shape": [ null, 100 ], "dtype": "float32", "input_dim": 10000, "output_dim": 512, "embeddings_initializer": { "class_name": "RandomUniform", "config": { "minval": -0.05, "maxval": 0.05, "seed": null } }, "embeddings_regularizer": null, "activity_regularizer": null, "embeddings_constraint": null, "mask_zero": false, "input_length": 100 }, "inbound_nodes": [ [ [ "main_input", 0, 0, {} ] ] ] }, { "name": "lstm_1", "class_name": "LSTM", "config": { "name": "lstm_1", "trainable": true, "dtype": "float32", "return_sequences": false, "return_state": false, "go_backwards": false, "stateful": false, "unroll": false, "units": 32, "activation": "tanh", "recurrent_activation": "sigmoid", "use_bias": true, "kernel_initializer": { "class_name": "VarianceScaling", "config": { "scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null } }, "recurrent_initializer": { "class_name": "Orthogonal", "config": { "gain": 1.0, "seed": null } }, "bias_initializer": { "class_name": "Zeros", "config": {} }, "unit_forget_bias": true, "kernel_regularizer": null, "recurrent_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "recurrent_constraint": null, "bias_constraint": null, "dropout": 0.0, "recurrent_dropout": 0.0, "implementation": 2 }, "inbound_nodes": [ [ [ "embedding_1", 0, 0, {} ] ] ] }, { "name": "dense_1", "class_name": "Dense", "config": { "name": "dense_1", "trainable": true, "dtype": "float32", "units": 1, "activation": "sigmoid", "use_bias": true, "kernel_initializer": { "class_name": "VarianceScaling", "config": { "scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null } }, "bias_initializer": { "class_name": "Zeros", "config": {} }, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null }, "inbound_nodes": [ [ [ "lstm_1", 0, 0, {} ] ] ] }, { "name": "aux_input", "class_name": "InputLayer", "config": { "batch_input_shape": [ null, 5 ], "dtype": "float32", "sparse": false, "name": "aux_input" }, "inbound_nodes": [] }, { "name": "concatenate_1", "class_name": "Concatenate", "config": { "name": "concatenate_1", "trainable": true, "dtype": "float32", "axis": -1 }, "inbound_nodes": [ [ [ "dense_1", 0, 0, {} ], [ "aux_input", 0, 0, {} ] ] ] }, { "name": "dense_2", "class_name": "Dense", "config": { "name": "dense_2", "trainable": true, "dtype": "float32", "units": 64, "activation": "relu", "use_bias": true, "kernel_initializer": { "class_name": "VarianceScaling", "config": { "scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null } }, "bias_initializer": { "class_name": "Zeros", "config": {} }, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null }, "inbound_nodes": [ [ [ "concatenate_1", 0, 0, {} ] ] ] }, { "name": "dense_3", "class_name": "Dense", "config": { "name": "dense_3", "trainable": true, "dtype": "float32", "units": 64, "activation": "relu", "use_bias": true, "kernel_initializer": { "class_name": "VarianceScaling", "config": { "scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null } }, "bias_initializer": { "class_name": "Zeros", "config": {} }, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null }, "inbound_nodes": [ [ [ "dense_2", 0, 0, {} ] ] ] }, { "name": "dense_4", "class_name": "Dense", "config": { "name": "dense_4", "trainable": true, "dtype": "float32", "units": 64, "activation": "relu", "use_bias": true, "kernel_initializer": { "class_name": "VarianceScaling", "config": { "scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null } }, "bias_initializer": { "class_name": "Zeros", "config": {} }, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null }, "inbound_nodes": [ [ [ "dense_3", 0, 0, {} ] ] ] }, { "name": "dense_5", "class_name": "Dense", "config": { "name": "dense_5", "trainable": true, "dtype": "float32", "units": 1, "activation": "sigmoid", "use_bias": true, "kernel_initializer": { "class_name": "VarianceScaling", "config": { "scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null } }, "bias_initializer": { "class_name": "Zeros", "config": {} }, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null }, "inbound_nodes": [ [ [ "dense_4", 0, 0, {} ] ] ] } ], "input_layers": [ [ "main_input", 0, 0 ], [ "aux_input", 0, 0 ] ], "output_layers": [ [ "dense_1", 0, 0 ], [ "dense_5", 0, 0 ] ] }, "keras_version": "2.3.1", "backend": "tensorflow" }