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kokbulma.json
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kokbulma.json
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"{\"class_name\": \"Model\", \"config\": {\"name\": \"model_1\", \"layers\": [{\"name\": \"input_1\", \"class_name\": \"InputLayer\", \"config\": {\"batch_input_shape\": [null, 22, 34], \"dtype\": \"float32\", \"sparse\": false, \"name\": \"input_1\"}, \"inbound_nodes\": []}, {\"name\": \"flatten_1\", \"class_name\": \"Flatten\", \"config\": {\"name\": \"flatten_1\", \"trainable\": true, \"data_format\": \"channels_last\"}, \"inbound_nodes\": [[[\"input_1\", 0, 0, {}]]]}, {\"name\": \"dense_1\", \"class_name\": \"Dense\", \"config\": {\"name\": \"dense_1\", \"trainable\": true, \"units\": 748, \"activation\": \"linear\", \"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\": [[[\"flatten_1\", 0, 0, {}]]]}, {\"name\": \"reshape_1\", \"class_name\": \"Reshape\", \"config\": {\"name\": \"reshape_1\", \"trainable\": true, \"target_shape\": [22, 34]}, \"inbound_nodes\": [[[\"dense_1\", 0, 0, {}]]]}, {\"name\": \"multiply_1\", \"class_name\": \"Multiply\", \"config\": {\"name\": \"multiply_1\", \"trainable\": true}, \"inbound_nodes\": [[[\"input_1\", 0, 0, {}], [\"reshape_1\", 0, 0, {}]]]}, {\"name\": \"lstm_1\", \"class_name\": \"LSTM\", \"config\": {\"name\": \"lstm_1\", \"trainable\": true, \"return_sequences\": true, \"return_state\": false, \"go_backwards\": false, \"stateful\": false, \"unroll\": false, \"units\": 64, \"activation\": \"tanh\", \"recurrent_activation\": \"hard_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\": 1}, \"inbound_nodes\": [[[\"multiply_1\", 0, 0, {}]]]}, {\"name\": \"time_distributed_1\", \"class_name\": \"TimeDistributed\", \"config\": {\"name\": \"time_distributed_1\", \"trainable\": true, \"layer\": {\"class_name\": \"Dense\", \"config\": {\"name\": \"dense_2\", \"trainable\": true, \"units\": 34, \"activation\": \"linear\", \"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\": \"activation_1\", \"class_name\": \"Activation\", \"config\": {\"name\": \"activation_1\", \"trainable\": true, \"activation\": \"softmax\"}, \"inbound_nodes\": [[[\"time_distributed_1\", 0, 0, {}]]]}], \"input_layers\": [[\"input_1\", 0, 0]], \"output_layers\": [[\"activation_1\", 0, 0]]}, \"keras_version\": \"2.2.4\", \"backend\": \"tensorflow\"}"