Issue | #Downvotes for this reason | By |
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mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2) | Automatically created MXNet flow. |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_00_data | {"inputs": [], "name": "data", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_01_hybridsequential0_batchnorm0_gamma | {"attrs": {"__dtype__": "0", "__init__": "ones", "__lr_mult__": "1.0", "__shape__": "(0,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_batchnorm0_gamma", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_02_hybridsequential0_batchnorm0_beta | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(0,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_batchnorm0_beta", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_03_hybridsequential0_batchnorm0_running_mean | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(0,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_batchnorm0_running_mean", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_04_hybridsequential0_batchnorm0_running_var | {"attrs": {"__dtype__": "0", "__init__": "ones", "__lr_mult__": "1.0", "__shape__": "(0,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_batchnorm0_running_var", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_05_hybridsequential0_batchnorm0_fwd | {"attrs": {"axis": "1", "eps": "1e-05", "fix_gamma": "False", "momentum": "0.9", "use_global_stats": "False"}, "inputs": [[0, 0, 0], [1, 0, 0], [2, 0, 0], [3, 0, 8], [4, 0, 8]], "name": "hybridsequential0_batchnorm0_fwd", "op": "BatchNorm"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_06_hybridsequential0_dense0_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(1024, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense0_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_07_hybridsequential0_dense0_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(1024,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense0_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_08_hybridsequential0_dense0_fwd | {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "1024"}, "inputs": [[5, 0, 0], [6, 0, 0], [7, 0, 0]], "name": "hybridsequential0_dense0_fwd", "op": "FullyConnected"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_09_hybridsequential0_dense0_relu_fwd | {"attrs": {"act_type": "relu"}, "inputs": [[8, 0, 0]], "name": "hybridsequential0_dense0_relu_fwd", "op": "Activation"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_10_hybridsequential0_dropout0_fwd | {"attrs": {"axes": "()", "p": "0.4"}, "inputs": [[9, 0, 0]], "name": "hybridsequential0_dropout0_fwd", "op": "Dropout"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_11_hybridsequential0_dense1_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(2, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense1_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_12_hybridsequential0_dense1_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(2,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense1_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_13_hybridsequential0_dense1_fwd | {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "2"}, "inputs": [[10, 0, 0], [11, 0, 0], [12, 0, 0]], "name": "hybridsequential0_dense1_fwd", "op": "FullyConnected"} |
mxnet.gluon.nn.basic_layers.HybridSequential.3eebcc0b(2)_misc | {"arg_nodes": [0, 1, 2, 3, 4, 6, 7, 11, 12], "attrs": {"mxnet_version": ["int", 10401]}, "heads": [[13, 0, 0]], "node_row_ptr": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 14, 15, 16, 17]} |
0.7581 ± 0.0627 Per class Cross-validation details (10-fold Crossvalidation)
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0.7355 ± 0.0406 Per class Cross-validation details (10-fold Crossvalidation)
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0.3595 ± 0.099 Cross-validation details (10-fold Crossvalidation)
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0.2617 ± 0.0756 Cross-validation details (10-fold Crossvalidation)
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0.2983 ± 0.027 Cross-validation details (10-fold Crossvalidation)
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0.4202 Cross-validation details (10-fold Crossvalidation)
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0.741 ± 0.0387 Cross-validation details (10-fold Crossvalidation)
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1000 Per class Cross-validation details (10-fold Crossvalidation) |
0.7324 ± 0.0414 Per class Cross-validation details (10-fold Crossvalidation)
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0.741 ± 0.0387 Cross-validation details (10-fold Crossvalidation)
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0.8813 Cross-validation details (10-fold Crossvalidation)
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0.71 ± 0.0643 Cross-validation details (10-fold Crossvalidation)
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0.4583 Cross-validation details (10-fold Crossvalidation)
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0.4308 ± 0.0315 Cross-validation details (10-fold Crossvalidation)
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0.9402 ± 0.0688 Cross-validation details (10-fold Crossvalidation)
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0.6731 ± 0.0474 Cross-validation details (10-fold Crossvalidation)
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