| batch_size | | default: 1024 |
| build_fn | | default: {"oml-python:serialized_object": "function", "value": "__main__.squeezenet"} |
| epochs | | default: 3 |
| layer0 | | default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 4096], "dtype": "float32", "name": "input", "sparse": false}, "inbound_nodes": [], "name": "input"} |
| layer1 | | default: {"class_name": "Reshape", "config": {"name": "reshape_1", "target_shape": [64, 64, 1], "trainable": true}, "inbound_nodes": [[["input", 0, 0, {}]]], "name": "reshape_1"} |
| layer10 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_6", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_5", 0, 0, {}]]], "name": "conv2d_6"} |
| layer11 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_7", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_5", 0, 0, {}]]], "name": "conv2d_7"} |
| layer12 | | default: {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_2", "trainable": true}, "inbound_nodes": [[["conv2d_6", 0, 0, {}], ["conv2d_7", 0, 0, {}]]], "name": "concatenate_2"} |
| layer13 | | default: {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_2", "trainable": true}, "inbound_nodes": [[["concatenate_2", 0, 0, {}]]], "name": "activation_2"} |
| layer14 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_8", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_2", 0, 0, {}]]], "name": "conv2d_8"} |
| layer15 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 128, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_9", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_8", 0, 0, {}]]], "name": "conv2d_9"} |
| layer16 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 128, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_10", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_8", 0, 0, {}]]], "name": "conv2d_10"} |
| layer17 | | default: {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_3", "trainable": true}, "inbound_nodes": [[["conv2d_9", 0, 0, {}], ["conv2d_10", 0, 0, {}]]], "name": "concatenate_3"} |
| layer18 | | default: {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_3", "trainable": true}, "inbound_nodes": [[["concatenate_3", 0, 0, {}]]], "name": "activation_3"} |
| layer19 | | default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_2", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["activation_3", 0, 0, {}]]], "name": "max_pooling2d_2"} |
| layer2 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 96, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_1", "padding": "valid", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["reshape_1", 0, 0, {}]]], "name": "conv2d_1"} |
| layer20 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_11", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]], "name": "conv2d_11"} |
| layer21 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 128, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_12", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_11", 0, 0, {}]]], "name": "conv2d_12"} |
| layer22 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 128, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_13", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_11", 0, 0, {}]]], "name": "conv2d_13"} |
| layer23 | | default: {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_4", "trainable": true}, "inbound_nodes": [[["conv2d_12", 0, 0, {}], ["conv2d_13", 0, 0, {}]]], "name": "concatenate_4"} |
| layer24 | | default: {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_4", "trainable": true}, "inbound_nodes": [[["concatenate_4", 0, 0, {}]]], "name": "activation_4"} |
| layer25 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 48, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_14", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_4", 0, 0, {}]]], "name": "conv2d_14"} |
| layer26 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 192, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_15", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_14", 0, 0, {}]]], "name": "conv2d_15"} |
| layer27 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 192, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_16", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_14", 0, 0, {}]]], "name": "conv2d_16"} |
| layer28 | | default: {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_5", "trainable": true}, "inbound_nodes": [[["conv2d_15", 0, 0, {}], ["conv2d_16", 0, 0, {}]]], "name": "concatenate_5"} |
| layer29 | | default: {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_5", "trainable": true}, "inbound_nodes": [[["concatenate_5", 0, 0, {}]]], "name": "activation_5"} |
| layer3 | | default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_1", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["conv2d_1", 0, 0, {}]]], "name": "max_pooling2d_1"} |
| layer30 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 48, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_17", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_5", 0, 0, {}]]], "name": "conv2d_17"} |
| layer31 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 192, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_18", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_17", 0, 0, {}]]], "name": "conv2d_18"} |
| layer32 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 192, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_19", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_17", 0, 0, {}]]], "name": "conv2d_19"} |
| layer33 | | default: {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_6", "trainable": true}, "inbound_nodes": [[["conv2d_18", 0, 0, {}], ["conv2d_19", 0, 0, {}]]], "name": "concatenate_6"} |
| layer34 | | default: {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_6", "trainable": true}, "inbound_nodes": [[["concatenate_6", 0, 0, {}]]], "name": "activation_6"} |
| layer35 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_20", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_6", 0, 0, {}]]], "name": "conv2d_20"} |
| layer36 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_21", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_20", 0, 0, {}]]], "name": "conv2d_21"} |
| layer37 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_22", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_20", 0, 0, {}]]], "name": "conv2d_22"} |
| layer38 | | default: {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_7", "trainable": true}, "inbound_nodes": [[["conv2d_21", 0, 0, {}], ["conv2d_22", 0, 0, {}]]], "name": "concatenate_7"} |
| layer39 | | default: {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_7", "trainable": true}, "inbound_nodes": [[["concatenate_7", 0, 0, {}]]], "name": "activation_7"} |
| layer4 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_2", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["max_pooling2d_1", 0, 0, {}]]], "name": "conv2d_2"} |
| layer40 | | default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_3", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["activation_7", 0, 0, {}]]], "name": "max_pooling2d_3"} |
| layer41 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_23", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["max_pooling2d_3", 0, 0, {}]]], "name": "conv2d_23"} |
| layer42 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_24", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_23", 0, 0, {}]]], "name": "conv2d_24"} |
| layer43 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_25", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_23", 0, 0, {}]]], "name": "conv2d_25"} |
| layer44 | | default: {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_8", "trainable": true}, "inbound_nodes": [[["conv2d_24", 0, 0, {}], ["conv2d_25", 0, 0, {}]]], "name": "concatenate_8"} |
| layer45 | | default: {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_8", "trainable": true}, "inbound_nodes": [[["concatenate_8", 0, 0, {}]]], "name": "activation_8"} |
| layer46 | | default: {"class_name": "Dropout", "config": {"name": "dropout_1", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": true}, "inbound_nodes": [[["activation_8", 0, 0, {}]]], "name": "dropout_1"} |
| layer47 | | default: {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 10, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_26", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["dropout_1", 0, 0, {}]]], "name": "conv2d_26"} |
| layer48 | | default: {"class_name": "AveragePooling2D", "config": {"data_format": "channels_last", "name": "average_pooling2d_1", "padding": "same", "pool_size": [13, 13], "strides": [1, 1], "trainable": true}, "inbound_nodes": [[["conv2d_26", 0, 0, {}]]], "name": "average_pooling2d_1"} |
| layer49 | | default: {"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_1", "trainable": true}, "inbound_nodes": [[["average_pooling2d_1", 0, 0, {}]]], "name": "flatten_1"} |
| layer5 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_3", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_2", 0, 0, {}]]], "name": "conv2d_3"} |
| layer50 | | default: {"class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_1", "trainable": true, "units": 40, "use_bias": true}, "inbound_nodes": [[["flatten_1", 0, 0, {}]]], "name": "dense_1"} |
| layer6 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_4", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_2", 0, 0, {}]]], "name": "conv2d_4"} |
| layer7 | | default: {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_1", "trainable": true}, "inbound_nodes": [[["conv2d_3", 0, 0, {}], ["conv2d_4", 0, 0, {}]]], "name": "concatenate_1"} |
| layer8 | | default: {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_1", "trainable": true}, "inbound_nodes": [[["concatenate_1", 0, 0, {}]]], "name": "activation_1"} |
| layer9 | | default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_5", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_1", 0, 0, {}]]], "name": "conv2d_5"} |
| verbose | | default: 2 |