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the data after training
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lesserror authored Mar 13, 2023
1 parent 3ea4dd4 commit 02ae354
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1 change: 1 addition & 0 deletions Client_1/Data/model_architecture.json
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"{\"class_name\": \"Functional\", \"config\": {\"name\": \"functional_1\", \"layers\": [{\"class_name\": \"InputLayer\", \"config\": {\"batch_input_shape\": [null, 5120, 1], \"dtype\": \"float32\", \"sparse\": false, \"ragged\": false, \"name\": \"input_1\"}, \"name\": \"input_1\", \"inbound_nodes\": []}, {\"class_name\": \"Conv1D\", \"config\": {\"name\": \"conv1d\", \"trainable\": true, \"dtype\": \"float32\", \"filters\": 48, \"kernel_size\": [11], \"strides\": [4], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [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}, \"name\": \"conv1d\", \"inbound_nodes\": [[[\"input_1\", 0, 0, {}]]]}, 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[[[\"batch_normalization\", 0, 0, {}]]]}, {\"class_name\": \"Conv1D\", \"config\": {\"name\": \"conv1d_1\", \"trainable\": true, \"dtype\": \"float32\", \"filters\": 128, \"kernel_size\": [5], \"strides\": [1], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [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}, \"name\": \"conv1d_1\", \"inbound_nodes\": [[[\"max_pooling1d\", 0, 0, {}]]]}, {\"class_name\": \"BatchNormalization\", \"config\": {\"name\": \"batch_normalization_1\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": [2], \"momentum\": 0.99, \"epsilon\": 0.001, \"center\": true, \"scale\": true, \"beta_initializer\": 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