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mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1) | Automatically created MXNet flow. |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_00_data | {"inputs": [], "name": "data", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_01_hybridsequential0_hybridlambda0_reshape0 | {"attrs": {"shape": "(-1, 1, 28, 28)"}, "inputs": [[0, 0, 0]], "name": "hybridsequential0_hybridlambda0_reshape0", "op": "Reshape"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_02_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.75709f3c(1)_03_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.75709f3c(1)_04_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.75709f3c(1)_05_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.75709f3c(1)_06_hybridsequential0_batchnorm0_fwd | {"attrs": {"axis": "1", "eps": "1e-05", "fix_gamma": "False", "momentum": "0.9", "use_global_stats": "False"}, "inputs": [[1, 0, 0], [2, 0, 0], [3, 0, 0], [4, 0, 9], [5, 0, 9]], "name": "hybridsequential0_batchnorm0_fwd", "op": "BatchNorm"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_07_hybridsequential0_conv0_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(32, 0, 5, 5)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_conv0_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_08_hybridsequential0_conv0_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(32,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_conv0_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_09_hybridsequential0_conv0_fwd | {"attrs": {"dilate": "(1, 1)", "kernel": "(5, 5)", "layout": "NCHW", "no_bias": "False", "num_filter": "32", "num_group": "1", "pad": "(0, 0)", "stride": "(1, 1)"}, "inputs": [[6, 0, 0], [7, 0, 0], [8, 0, 0]], "name": "hybridsequential0_conv0_fwd", "op": "Convolution"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_10_hybridsequential0_leakyrelu0_fwd | {"attrs": {"act_type": "leaky", "slope": "0.01"}, "inputs": [[9, 0, 0]], "name": "hybridsequential0_leakyrelu0_fwd", "op": "LeakyReLU"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_11_hybridsequential0_pool0_fwd | {"attrs": {"global_pool": "False", "kernel": "(2, 2)", "layout": "NCHW", "pad": "(0, 0)", "pool_type": "max", "pooling_convention": "valid", "stride": "(2, 2)"}, "inputs": [[10, 0, 0]], "name": "hybridsequential0_pool0_fwd", "op": "Pooling"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_12_hybridsequential0_conv1_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(64, 0, 5, 5)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_conv1_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_13_hybridsequential0_conv1_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(64,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_conv1_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_14_hybridsequential0_conv1_fwd | {"attrs": {"dilate": "(1, 1)", "kernel": "(5, 5)", "layout": "NCHW", "no_bias": "False", "num_filter": "64", "num_group": "1", "pad": "(0, 0)", "stride": "(1, 1)"}, "inputs": [[11, 0, 0], [12, 0, 0], [13, 0, 0]], "name": "hybridsequential0_conv1_fwd", "op": "Convolution"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_15_hybridsequential0_leakyrelu1_fwd | {"attrs": {"act_type": "leaky", "slope": "0.01"}, "inputs": [[14, 0, 0]], "name": "hybridsequential0_leakyrelu1_fwd", "op": "LeakyReLU"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_16_hybridsequential0_pool1_fwd | {"attrs": {"global_pool": "False", "kernel": "(2, 2)", "layout": "NCHW", "pad": "(0, 0)", "pool_type": "max", "pooling_convention": "valid", "stride": "(2, 2)"}, "inputs": [[15, 0, 0]], "name": "hybridsequential0_pool1_fwd", "op": "Pooling"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_17_hybridsequential0_flatten0_flatten0 | {"inputs": [[16, 0, 0]], "name": "hybridsequential0_flatten0_flatten0", "op": "Flatten"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_18_hybridsequential0_dense0_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(256, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense0_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_19_hybridsequential0_dense0_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(256,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense0_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_20_hybridsequential0_dense0_fwd | {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "256"}, "inputs": [[17, 0, 0], [18, 0, 0], [19, 0, 0]], "name": "hybridsequential0_dense0_fwd", "op": "FullyConnected"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_21_hybridsequential0_leakyrelu2_fwd | {"attrs": {"act_type": "leaky", "slope": "0.01"}, "inputs": [[20, 0, 0]], "name": "hybridsequential0_leakyrelu2_fwd", "op": "LeakyReLU"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_22_hybridsequential0_dropout0_fwd | {"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.2"}, "inputs": [[21, 0, 0]], "name": "hybridsequential0_dropout0_fwd", "op": "Dropout"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_23_hybridsequential0_dense1_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(10, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense1_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_24_hybridsequential0_dense1_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(10,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense1_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_25_hybridsequential0_dense1_fwd | {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "10"}, "inputs": [[22, 0, 0], [23, 0, 0], [24, 0, 0]], "name": "hybridsequential0_dense1_fwd", "op": "FullyConnected"} |
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c(1)_misc | {"arg_nodes": [0, 2, 3, 4, 5, 7, 8, 12, 13, 18, 19, 23, 24], "attrs": {"mxnet_version": ["int", 10500]}, "heads": [[25, 0, 0]], "node_row_ptr": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29]} |
0.9999 ± 0 Per class Cross-validation details (10-fold Crossvalidation)
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0.9915 ± 0.0011 Per class Cross-validation details (10-fold Crossvalidation)
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0.9906 ± 0.0013 Cross-validation details (10-fold Crossvalidation)
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0.9914 ± 0.0011 Cross-validation details (10-fold Crossvalidation)
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0.002 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
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0.1799 ± 0 Cross-validation details (10-fold Crossvalidation)
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70000 Per class Cross-validation details (10-fold Crossvalidation) |
0.9915 ± 0.0011 Per class Cross-validation details (10-fold Crossvalidation)
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0.9915 ± 0.0011 Cross-validation details (10-fold Crossvalidation)
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3.3198 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.9915 ± 0.0011 Per class Cross-validation details (10-fold Crossvalidation)
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0.0112 ± 0.0013 Cross-validation details (10-fold Crossvalidation)
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0.3 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.0371 ± 0.0026 Cross-validation details (10-fold Crossvalidation)
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0.1237 ± 0.0086 Cross-validation details (10-fold Crossvalidation)
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