Run 10228346

Task 31 (Supervised Classification) credit-g Uploaded 03-06-2019 by Adrian-Stefan Mares
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads

Issue	#Downvotes for this reason	By

Flow

mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)	Automatically created scikit-learn flow.
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_00_data	{"inputs": [], "name": "data", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_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.e59b914b(1)_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.e59b914b(1)_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.e59b914b(1)_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.e59b914b(1)_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.e59b914b(1)_06_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.e59b914b(1)_07_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.e59b914b(1)_08_hybridsequential0_dense0_fwd	{"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "256"}, "inputs": [[5, 0, 0], [6, 0, 0], [7, 0, 0]], "name": "hybridsequential0_dense0_fwd", "op": "FullyConnected"}
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_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.e59b914b(1)_10_hybridsequential0_dropout0_fwd	{"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.25"}, "inputs": [[9, 0, 0]], "name": "hybridsequential0_dropout0_fwd", "op": "Dropout"}
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_11_hybridsequential0_dense1_weight	{"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(256, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense1_weight", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_12_hybridsequential0_dense1_bias	{"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(256,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense1_bias", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_13_hybridsequential0_dense1_fwd	{"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "256"}, "inputs": [[10, 0, 0], [11, 0, 0], [12, 0, 0]], "name": "hybridsequential0_dense1_fwd", "op": "FullyConnected"}
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_14_hybridsequential0_dense1_relu_fwd	{"attrs": {"act_type": "relu"}, "inputs": [[13, 0, 0]], "name": "hybridsequential0_dense1_relu_fwd", "op": "Activation"}
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_15_hybridsequential0_dropout1_fwd	{"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.35"}, "inputs": [[14, 0, 0]], "name": "hybridsequential0_dropout1_fwd", "op": "Dropout"}
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_16_hybridsequential0_dense2_weight	{"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(2, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense2_weight", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_17_hybridsequential0_dense2_bias	{"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(2,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense2_bias", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_18_hybridsequential0_dense2_fwd	{"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "2"}, "inputs": [[15, 0, 0], [16, 0, 0], [17, 0, 0]], "name": "hybridsequential0_dense2_fwd", "op": "FullyConnected"}
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_misc	{"arg_nodes": [0, 1, 2, 3, 4, 6, 7, 11, 12, 16, 17], "attrs": {"mxnet_version": ["int", 10500]}, "heads": [[18, 0, 0]], "node_row_ptr": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 14, 15, 16, 17, 18, 20, 21, 22, 23]}