Mercurial > repos > bgruening > scipy_sparse
view test-data/keras05.json @ 45:b3d80cb1ed87 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
| author | bgruening |
|---|---|
| date | Fri, 03 Nov 2023 22:46:12 +0000 |
| parents | 5af054432771 |
| children |
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{ "class_name": "Sequential", "config": { "name": "sequential", "layers": [ { "class_name": "InputLayer", "config": { "batch_input_shape": [ null, 32, 32, 3 ], "dtype": "float32", "sparse": false, "ragged": false, "name": "conv2d_input" } }, { "class_name": "Conv2D", "config": { "name": "conv2d", "trainable": true, "batch_input_shape": [ null, 32, 32, 3 ], "dtype": "float32", "filters": 32, "kernel_size": [ 3, 3 ], "strides": [ 1, 1 ], "padding": "same", "data_format": "channels_last", "dilation_rate": [ 1, 1 ], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": { "class_name": "GlorotUniform", "config": { "seed": null } }, "bias_initializer": { "class_name": "Zeros", "config": {} }, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null } }, { "class_name": "MaxPooling2D", "config": { "name": "max_pooling2d", "trainable": true, "dtype": "float32", "pool_size": [ 2, 2 ], "padding": "valid", "strides": [ 2, 2 ], "data_format": "channels_last" } }, { "class_name": "Dropout", "config": { "name": "dropout", "trainable": true, "dtype": "float32", "rate": 0.25, "noise_shape": null, "seed": null } }, { "class_name": "Conv2D", "config": { "name": "conv2d_1", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [ 3, 3 ], "strides": [ 1, 1 ], "padding": "same", "data_format": "channels_last", "dilation_rate": [ 1, 1 ], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": { "class_name": "GlorotUniform", "config": { "seed": null } }, "bias_initializer": { "class_name": "Zeros", "config": {} }, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null } }, { "class_name": "MaxPooling2D", "config": { "name": "max_pooling2d_1", "trainable": true, "dtype": "float32", "pool_size": [ 2, 2 ], "padding": "valid", "strides": [ 2, 2 ], "data_format": "channels_last" } }, { "class_name": "Dropout", "config": { "name": "dropout_1", "trainable": true, "dtype": "float32", "rate": 0.25, "noise_shape": null, "seed": null } }, { "class_name": "Flatten", "config": { "name": "flatten", "trainable": true, "dtype": "float32", "data_format": "channels_last" } }, { "class_name": "Dense", "config": { "name": "dense", "trainable": true, "dtype": "float32", "units": 512, "activation": "relu", "use_bias": true, "kernel_initializer": { "class_name": "GlorotUniform", "config": { "seed": null } }, "bias_initializer": { "class_name": "Zeros", "config": {} }, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null } }, { "class_name": "Dropout", "config": { "name": "dropout_2", "trainable": true, "dtype": "float32", "rate": 0.5, "noise_shape": null, "seed": null } }, { "class_name": "Dense", "config": { "name": "dense_1", "trainable": true, "dtype": "float32", "units": 10, "activation": "softmax", "use_bias": true, "kernel_initializer": { "class_name": "GlorotUniform", "config": { "seed": null } }, "bias_initializer": { "class_name": "Zeros", "config": {} }, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null } } ] }, "keras_version": "2.10.0", "backend": "tensorflow" }