Issue | #Downvotes for this reason | By |
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onnx.onnx_pb2.ModelProto.f1b556b3(1) | Automatically created ONNX flow. |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_backend | {"irVersion": "3", "opsetImport": [{"version": "8"}]} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_initializer_0_batchnorm0_gamma | {"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_gamma"} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_initializer_1_batchnorm0_beta | {"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_beta"} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_initializer_2_batchnorm0_moving_mean | {"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_moving_mean"} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_initializer_3_batchnorm0_moving_var | {"dataType": "FLOAT", "dims": ["4"], "name": "batchnorm0_moving_var"} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_initializer_4_fullyconnected0_weight | {"dataType": "FLOAT", "dims": ["1024", "4"], "name": "fullyconnected0_weight"} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_initializer_5_fullyconnected0_bias | {"dataType": "FLOAT", "dims": ["1024"], "name": "fullyconnected0_bias"} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_initializer_6_fullyconnected1_weight | {"dataType": "FLOAT", "dims": ["2", "1024"], "name": "fullyconnected1_weight"} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_initializer_7_fullyconnected1_bias | {"dataType": "FLOAT", "dims": ["2"], "name": "fullyconnected1_bias"} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_input_0_data | {"name": "data", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "64"}, {"dimValue": "4"}]}}}} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_input_1_batchnorm0_gamma | {"name": "batchnorm0_gamma", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "4"}]}}}} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_input_2_batchnorm0_beta | {"name": "batchnorm0_beta", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "4"}]}}}} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_input_3_batchnorm0_moving_mean | {"name": "batchnorm0_moving_mean", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "4"}]}}}} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_input_4_batchnorm0_moving_var | {"name": "batchnorm0_moving_var", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "4"}]}}}} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_input_5_fullyconnected0_weight | {"name": "fullyconnected0_weight", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "1024"}, {"dimValue": "4"}]}}}} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_input_6_fullyconnected0_bias | {"name": "fullyconnected0_bias", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "1024"}]}}}} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_input_7_fullyconnected1_weight | {"name": "fullyconnected1_weight", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "2"}, {"dimValue": "1024"}]}}}} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_input_8_fullyconnected1_bias | {"name": "fullyconnected1_bias", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "2"}]}}}} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_name | mxnet_converted_model |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_node_0_batchnorm0 | {"attribute": [{"f": 0.0010000000474974513, "name": "epsilon", "type": "FLOAT"}, {"f": 0.8999999761581421, "name": "momentum", "type": "FLOAT"}, {"i": "0", "name": "spatial", "type": "INT"}], "input": ["data", "batchnorm0_gamma", "batchnorm0_beta", "batchnorm0_moving_mean", "batchnorm0_moving_var"], "name": "batchnorm0", "opType": "BatchNormalization", "output": ["batchnorm0"]} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_node_1_flatten_8 | {"input": ["batchnorm0"], "name": "flatten_8", "opType": "Flatten", "output": ["flatten_8"]} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_node_2_fullyconnected0 | {"attribute": [{"f": 1.0, "name": "alpha", "type": "FLOAT"}, {"f": 1.0, "name": "beta", "type": "FLOAT"}, {"i": "0", "name": "transA", "type": "INT"}, {"i": "1", "name": "transB", "type": "INT"}], "input": ["flatten_8", "fullyconnected0_weight", "fullyconnected0_bias"], "name": "fullyconnected0", "opType": "Gemm", "output": ["fullyconnected0"]} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_node_3_activation0 | {"input": ["fullyconnected0"], "name": "activation0", "opType": "Relu", "output": ["activation0"]} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_node_4_dropout0 | {"attribute": [{"f": 0.4000000059604645, "name": "ratio", "type": "FLOAT"}], "input": ["activation0"], "name": "dropout0", "opType": "Dropout", "output": ["dropout0"]} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_node_5_flatten_13 | {"input": ["dropout0"], "name": "flatten_13", "opType": "Flatten", "output": ["flatten_13"]} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_node_6_fullyconnected1 | {"attribute": [{"f": 1.0, "name": "alpha", "type": "FLOAT"}, {"f": 1.0, "name": "beta", "type": "FLOAT"}, {"i": "0", "name": "transA", "type": "INT"}, {"i": "1", "name": "transB", "type": "INT"}], "input": ["flatten_13", "fullyconnected1_weight", "fullyconnected1_bias"], "name": "fullyconnected1", "opType": "Gemm", "output": ["fullyconnected1"]} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_node_7_softmax | {"attribute": [{"i": "1", "name": "axis", "type": "INT"}], "input": ["fullyconnected1"], "name": "softmax", "opType": "Softmax", "output": ["softmax"]} |
onnx.onnx_pb2.ModelProto.f1b556b3(1)_output_0_softmax | {"name": "softmax", "type": {"tensorType": {"elemType": "FLOAT", "shape": {"dim": [{"dimValue": "64"}, {"dimValue": "2"}]}}}} |
0.7216 ± 0.0564 Per class Cross-validation details (10-fold Crossvalidation)
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0.6952 ± 0.0416 Per class Cross-validation details (10-fold Crossvalidation)
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0.0947 ± 0.1181 Cross-validation details (10-fold Crossvalidation)
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0.281 ± 0.0738 Cross-validation details (10-fold Crossvalidation)
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0.2361 ± 0.0212 Cross-validation details (10-fold Crossvalidation)
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0.363 ± 0.0023 Cross-validation details (10-fold Crossvalidation)
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0.7687 ± 0.0248 Cross-validation details (10-fold Crossvalidation)
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748 Per class Cross-validation details (10-fold Crossvalidation) |
0.733 ± 0.1084 Per class Cross-validation details (10-fold Crossvalidation)
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0.7687 ± 0.0248 Cross-validation details (10-fold Crossvalidation)
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0.7916 ± 0.0072 Cross-validation details (10-fold Crossvalidation)
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0.6503 ± 0.057 Cross-validation details (10-fold Crossvalidation)
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0.4258 ± 0.0027 Cross-validation details (10-fold Crossvalidation)
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0.4378 ± 0.0454 Cross-validation details (10-fold Crossvalidation)
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1.0281 ± 0.1045 Cross-validation details (10-fold Crossvalidation)
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0.5334 ± 0.0437 Cross-validation details (10-fold Crossvalidation)
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