mnist/static/model.json
2020-01-17 19:56:30 +01:00

310 lines
11 KiB
JSON

{
"format": "layers-model",
"generatedBy": "keras v2.2.4-tf",
"convertedBy": "TensorFlow.js Converter v1.4.0",
"modelTopology": {
"keras_version": "2.2.4-tf",
"backend": "tensorflow",
"model_config": {
"class_name": "Sequential",
"config": {
"name": "sequential",
"layers": [
{
"class_name": "Conv2D",
"config": {
"name": "conv2d",
"trainable": true,
"batch_input_shape": [
null,
28,
28,
1
],
"dtype": "float32",
"filters": 64,
"kernel_size": [
3,
3
],
"strides": [
1,
1
],
"padding": "valid",
"data_format": "channels_last",
"dilation_rate": [
1,
1
],
"activation": "relu",
"use_bias": true,
"kernel_initializer": {
"class_name": "GlorotUniform",
"config": {
"seed": 420,
"dtype": "float32"
}
},
"bias_initializer": {
"class_name": "Zeros",
"config": {
"dtype": "float32"
}
},
"kernel_regularizer": null,
"bias_regularizer": null,
"activity_regularizer": null,
"kernel_constraint": null,
"bias_constraint": null
}
},
{
"class_name": "Conv2D",
"config": {
"name": "conv2d_1",
"trainable": true,
"dtype": "float32",
"filters": 32,
"kernel_size": [
3,
3
],
"strides": [
1,
1
],
"padding": "valid",
"data_format": "channels_last",
"dilation_rate": [
1,
1
],
"activation": "relu",
"use_bias": true,
"kernel_initializer": {
"class_name": "GlorotUniform",
"config": {
"seed": 420,
"dtype": "float32"
}
},
"bias_initializer": {
"class_name": "Zeros",
"config": {
"dtype": "float32"
}
},
"kernel_regularizer": null,
"bias_regularizer": null,
"activity_regularizer": null,
"kernel_constraint": null,
"bias_constraint": null
}
},
{
"class_name": "MaxPooling2D",
"config": {
"name": "max_pooling2d",
"trainable": true,
"dtype": "float32",
"pool_size": [
2,
2
],
"padding": "valid",
"strides": [
2,
2
],
"data_format": "channels_last"
}
},
{
"class_name": "Dropout",
"config": {
"name": "dropout",
"trainable": true,
"dtype": "float32",
"rate": 0.25,
"noise_shape": null,
"seed": 420
}
},
{
"class_name": "Flatten",
"config": {
"name": "flatten",
"trainable": true,
"dtype": "float32",
"data_format": "channels_last"
}
},
{
"class_name": "Dense",
"config": {
"name": "dense",
"trainable": true,
"dtype": "float32",
"units": 128,
"activation": "relu",
"use_bias": true,
"kernel_initializer": {
"class_name": "GlorotUniform",
"config": {
"seed": 420,
"dtype": "float32"
}
},
"bias_initializer": {
"class_name": "Zeros",
"config": {
"dtype": "float32"
}
},
"kernel_regularizer": null,
"bias_regularizer": null,
"activity_regularizer": null,
"kernel_constraint": null,
"bias_constraint": null
}
},
{
"class_name": "Dropout",
"config": {
"name": "dropout_1",
"trainable": true,
"dtype": "float32",
"rate": 0.5,
"noise_shape": null,
"seed": 420
}
},
{
"class_name": "Dense",
"config": {
"name": "dense_1",
"trainable": true,
"dtype": "float32",
"units": 10,
"activation": "softmax",
"use_bias": true,
"kernel_initializer": {
"class_name": "GlorotUniform",
"config": {
"seed": 420,
"dtype": "float32"
}
},
"bias_initializer": {
"class_name": "Zeros",
"config": {
"dtype": "float32"
}
},
"kernel_regularizer": null,
"bias_regularizer": null,
"activity_regularizer": null,
"kernel_constraint": null,
"bias_constraint": null
}
}
]
}
},
"training_config": {
"loss": "categorical_crossentropy",
"metrics": [
"accuracy"
],
"weighted_metrics": null,
"sample_weight_mode": null,
"loss_weights": null,
"optimizer_config": {
"class_name": "Adam",
"config": {
"name": "Adam",
"learning_rate": 0.0010000000474974513,
"decay": 0.0,
"beta_1": 0.8999999761581421,
"beta_2": 0.9990000128746033,
"epsilon": 1e-07,
"amsgrad": false
}
}
}
},
"weightsManifest": [
{
"paths": [
"group1-shard1of1.bin"
],
"weights": [
{
"name": "conv2d/kernel",
"shape": [
3,
3,
1,
64
],
"dtype": "float32"
},
{
"name": "conv2d/bias",
"shape": [
64
],
"dtype": "float32"
},
{
"name": "conv2d_1/kernel",
"shape": [
3,
3,
64,
32
],
"dtype": "float32"
},
{
"name": "conv2d_1/bias",
"shape": [
32
],
"dtype": "float32"
},
{
"name": "dense/kernel",
"shape": [
4608,
128
],
"dtype": "float32"
},
{
"name": "dense/bias",
"shape": [
128
],
"dtype": "float32"
},
{
"name": "dense_1/kernel",
"shape": [
128,
10
],
"dtype": "float32"
},
{
"name": "dense_1/bias",
"shape": [
10
],
"dtype": "float32"
}
]
}
]
}