Run 10228212

Task 31 (Supervised Classification) credit-g Uploaded 28-05-2019 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(1)	Automatically created scikit-learn flow.
mxnet.gluon.nn.basic_layers.HybridSequential(1)_data	{"id": 0, "inputs": [], "name": "data", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_hybridsequential0_batchnorm0_gamma	{"attrs": {"__dtype__": "0", "__init__": "ones", "__lr_mult__": "1.0", "__shape__": "(0,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "id": 1, "inputs": [], "name": "hybridsequential0_batchnorm0_gamma", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_hybridsequential0_batchnorm0_beta	{"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(0,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "id": 2, "inputs": [], "name": "hybridsequential0_batchnorm0_beta", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_hybridsequential0_batchnorm0_running_mean	{"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(0,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "id": 3, "inputs": [], "name": "hybridsequential0_batchnorm0_running_mean", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_hybridsequential0_batchnorm0_running_var	{"attrs": {"__dtype__": "0", "__init__": "ones", "__lr_mult__": "1.0", "__shape__": "(0,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "id": 4, "inputs": [], "name": "hybridsequential0_batchnorm0_running_var", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_hybridsequential0_batchnorm0_fwd	{"attrs": {"axis": "1", "eps": "1e-05", "fix_gamma": "False", "momentum": "0.9", "use_global_stats": "False"}, "id": 5, "inputs": [[0, 0, 0], [1, 0, 0], [2, 0, 0], [3, 0, 5], [4, 0, 5]], "name": "hybridsequential0_batchnorm0_fwd", "op": "BatchNorm"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_hybridsequential0_dense0_weight	{"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(1024, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "id": 6, "inputs": [], "name": "hybridsequential0_dense0_weight", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_hybridsequential0_dense0_bias	{"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(1024,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "id": 7, "inputs": [], "name": "hybridsequential0_dense0_bias", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_hybridsequential0_dense0_fwd	{"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "1024"}, "id": 8, "inputs": [[5, 0, 0], [6, 0, 0], [7, 0, 0]], "name": "hybridsequential0_dense0_fwd", "op": "FullyConnected"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_hybridsequential0_dense0_relu_fwd	{"attrs": {"act_type": "relu"}, "id": 9, "inputs": [[8, 0, 0]], "name": "hybridsequential0_dense0_relu_fwd", "op": "Activation"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_hybridsequential0_dropout0_fwd	{"attrs": {"axes": "()", "p": "0.4"}, "id": 10, "inputs": [[9, 0, 0]], "name": "hybridsequential0_dropout0_fwd", "op": "Dropout"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_hybridsequential0_dense1_weight	{"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(2, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "id": 11, "inputs": [], "name": "hybridsequential0_dense1_weight", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_hybridsequential0_dense1_bias	{"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(2,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "id": 12, "inputs": [], "name": "hybridsequential0_dense1_bias", "op": "null"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_hybridsequential0_dense1_fwd	{"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "2"}, "id": 13, "inputs": [[10, 0, 0], [11, 0, 0], [12, 0, 0]], "name": "hybridsequential0_dense1_fwd", "op": "FullyConnected"}
mxnet.gluon.nn.basic_layers.HybridSequential(1)_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]}