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mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1) | Automatically created MXNet flow. |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_00_data | {"inputs": [], "name": "data", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_01_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.4bb97e7b(1)_02_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.4bb97e7b(1)_03_hybridsequential0_dense0_fwd | {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "1024"}, "inputs": [[0, 0, 0], [1, 0, 0], [2, 0, 0]], "name": "hybridsequential0_dense0_fwd", "op": "FullyConnected"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_04_hybridsequential0_dense0_relu_fwd | {"attrs": {"act_type": "relu"}, "inputs": [[3, 0, 0]], "name": "hybridsequential0_dense0_relu_fwd", "op": "Activation"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_05_hybridsequential0_dropout0_fwd | {"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.4"}, "inputs": [[4, 0, 0]], "name": "hybridsequential0_dropout0_fwd", "op": "Dropout"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_06_hybridsequential0_dense1_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(512, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense1_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_07_hybridsequential0_dense1_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(512,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense1_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_08_hybridsequential0_dense1_fwd | {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "512"}, "inputs": [[5, 0, 0], [6, 0, 0], [7, 0, 0]], "name": "hybridsequential0_dense1_fwd", "op": "FullyConnected"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_09_hybridsequential0_dense1_relu_fwd | {"attrs": {"act_type": "relu"}, "inputs": [[8, 0, 0]], "name": "hybridsequential0_dense1_relu_fwd", "op": "Activation"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_10_hybridsequential0_dropout1_fwd | {"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.4"}, "inputs": [[9, 0, 0]], "name": "hybridsequential0_dropout1_fwd", "op": "Dropout"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_11_hybridsequential0_dense2_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(256, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense2_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_12_hybridsequential0_dense2_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(256,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense2_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_13_hybridsequential0_dense2_fwd | {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "256"}, "inputs": [[10, 0, 0], [11, 0, 0], [12, 0, 0]], "name": "hybridsequential0_dense2_fwd", "op": "FullyConnected"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_14_hybridsequential0_dense2_relu_fwd | {"attrs": {"act_type": "relu"}, "inputs": [[13, 0, 0]], "name": "hybridsequential0_dense2_relu_fwd", "op": "Activation"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_15_hybridsequential0_dropout2_fwd | {"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.4"}, "inputs": [[14, 0, 0]], "name": "hybridsequential0_dropout2_fwd", "op": "Dropout"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_16_hybridsequential0_dense3_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(128, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense3_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_17_hybridsequential0_dense3_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(128,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense3_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_18_hybridsequential0_dense3_fwd | {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "128"}, "inputs": [[15, 0, 0], [16, 0, 0], [17, 0, 0]], "name": "hybridsequential0_dense3_fwd", "op": "FullyConnected"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_19_hybridsequential0_dense3_relu_fwd | {"attrs": {"act_type": "relu"}, "inputs": [[18, 0, 0]], "name": "hybridsequential0_dense3_relu_fwd", "op": "Activation"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_20_hybridsequential0_dropout3_fwd | {"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.4"}, "inputs": [[19, 0, 0]], "name": "hybridsequential0_dropout3_fwd", "op": "Dropout"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_21_hybridsequential0_dense4_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(64, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense4_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_22_hybridsequential0_dense4_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(64,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense4_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_23_hybridsequential0_dense4_fwd | {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "64"}, "inputs": [[20, 0, 0], [21, 0, 0], [22, 0, 0]], "name": "hybridsequential0_dense4_fwd", "op": "FullyConnected"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_24_hybridsequential0_dense4_relu_fwd | {"attrs": {"act_type": "relu"}, "inputs": [[23, 0, 0]], "name": "hybridsequential0_dense4_relu_fwd", "op": "Activation"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_25_hybridsequential0_dropout4_fwd | {"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.4"}, "inputs": [[24, 0, 0]], "name": "hybridsequential0_dropout4_fwd", "op": "Dropout"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_26_hybridsequential0_dense5_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(1, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense5_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_27_hybridsequential0_dense5_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(1,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense5_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_28_hybridsequential0_dense5_fwd | {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "1"}, "inputs": [[25, 0, 0], [26, 0, 0], [27, 0, 0]], "name": "hybridsequential0_dense5_fwd", "op": "FullyConnected"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_29_hybridsequential0_dense5_relu_fwd | {"attrs": {"act_type": "relu"}, "inputs": [[28, 0, 0]], "name": "hybridsequential0_dense5_relu_fwd", "op": "Activation"} |
mxnet.gluon.nn.basic_layers.HybridSequential.4bb97e7b(1)_misc | {"arg_nodes": [0, 1, 2, 6, 7, 11, 12, 16, 17, 21, 22, 26, 27], "attrs": {"mxnet_version": ["int", 10500]}, "heads": [[29, 0, 0]], "node_row_ptr": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35]} |
43.2556 ± 6.4421 Cross-validation details (10-fold Crossvalidation)
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39.3139 ± 6.092 Cross-validation details (10-fold Crossvalidation)
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303 Cross-validation details (10-fold Crossvalidation) |
1.1003 ± 0.1774 Cross-validation details (10-fold Crossvalidation)
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51.6914 ± 10.5853 Cross-validation details (10-fold Crossvalidation)
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55.6863 ± 9.216 Cross-validation details (10-fold Crossvalidation)
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1.0773 ± 0.1809 Cross-validation details (10-fold Crossvalidation)
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