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smaller model
This commit is contained in:
cupcakearmy
parent
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BIN
static/group1-shard1of1.bin
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static/group1-shard1of1.bin
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static/model.json
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static/model.json
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{
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{"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_20", "layers": [{"class_name": "Conv2D", "config": {"name": "conv2d_53", "trainable": true, "batch_input_shape": [null, 28, 28, 1], "dtype": "float32", "filters": 64, "kernel_size": [7, 7], "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": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Conv2D", "config": {"name": "conv2d_54", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [5, 5], "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": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Conv2D", "config": {"name": "conv2d_55", "trainable": true, "dtype": "float32", "filters": 16, "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": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_19", "trainable": true, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}}, {"class_name": "Dropout", "config": {"name": "dropout_45", "trainable": true, "dtype": "float32", "rate": 0.2, "noise_shape": null, "seed": null}}, {"class_name": "Flatten", "config": {"name": "flatten_20", "trainable": true, "dtype": "float32", "data_format": "channels_last"}}, {"class_name": "Dense", "config": {"name": "dense_41", "trainable": true, "dtype": "float32", "units": 128, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dropout", "config": {"name": "dropout_46", "trainable": true, "dtype": "float32", "rate": 0.25, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_42", "trainable": true, "dtype": "float32", "units": 10, "activation": "softmax", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "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": "RMSprop", "config": {"name": "RMSprop", "learning_rate": 0.0010000000474974513, "decay": 0.0, "rho": 0.8999999761581421, "momentum": 0.0, "epsilon": 1e-07, "centered": false}}}}, "weightsManifest": [{"paths": ["group1-shard1of1.bin"], "weights": [{"name": "conv2d_53/kernel", "shape": [7, 7, 1, 64], "dtype": "float32"}, {"name": "conv2d_53/bias", "shape": [64], "dtype": "float32"}, {"name": "conv2d_54/kernel", "shape": [5, 5, 64, 32], "dtype": "float32"}, {"name": "conv2d_54/bias", "shape": [32], "dtype": "float32"}, {"name": "conv2d_55/kernel", "shape": [3, 3, 32, 16], "dtype": "float32"}, {"name": "conv2d_55/bias", "shape": [16], "dtype": "float32"}, {"name": "dense_41/kernel", "shape": [1024, 128], "dtype": "float32"}, {"name": "dense_41/bias", "shape": [128], "dtype": "float32"}, {"name": "dense_42/kernel", "shape": [128, 10], "dtype": "float32"}, {"name": "dense_42/bias", "shape": [10], "dtype": "float32"}]}]}
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"format": "layers-model",
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"generatedBy": "keras v2.2.4-tf",
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"convertedBy": "TensorFlow.js Converter v1.4.0",
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"modelTopology": {
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"keras_version": "2.2.4-tf",
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"backend": "tensorflow",
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"model_config": {
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"class_name": "Sequential",
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"config": {
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"name": "sequential",
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"layers": [
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{
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"class_name": "Conv2D",
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"config": {
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"name": "conv2d",
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"trainable": true,
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"batch_input_shape": [
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null,
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28,
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28,
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1
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],
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"dtype": "float32",
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"filters": 64,
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"kernel_size": [
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3,
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3
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],
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"strides": [
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1,
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1
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],
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"padding": "valid",
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"data_format": "channels_last",
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"dilation_rate": [
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1,
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1
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],
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"activation": "relu",
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"use_bias": true,
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"kernel_initializer": {
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"class_name": "GlorotUniform",
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"config": {
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"seed": 420,
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"dtype": "float32"
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}
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},
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"bias_initializer": {
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"class_name": "Zeros",
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"config": {
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"dtype": "float32"
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}
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},
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"activity_regularizer": null,
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"bias_constraint": null
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}
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},
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{
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"class_name": "Conv2D",
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"config": {
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"name": "conv2d_1",
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"trainable": true,
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"dtype": "float32",
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"filters": 32,
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"kernel_size": [
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3,
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3
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],
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"strides": [
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1,
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1
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],
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"padding": "valid",
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"data_format": "channels_last",
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"dilation_rate": [
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1,
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1
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],
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"activation": "relu",
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"use_bias": true,
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"kernel_initializer": {
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"class_name": "GlorotUniform",
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"config": {
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"seed": 420,
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"dtype": "float32"
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}
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},
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"bias_initializer": {
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"class_name": "Zeros",
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"config": {
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"dtype": "float32"
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}
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},
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"kernel_regularizer": null,
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"bias_regularizer": null,
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"activity_regularizer": null,
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"kernel_constraint": null,
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"bias_constraint": null
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}
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},
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{
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"class_name": "MaxPooling2D",
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"config": {
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"name": "max_pooling2d",
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"trainable": true,
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"dtype": "float32",
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"pool_size": [
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2,
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2
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],
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"padding": "valid",
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"strides": [
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2,
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2
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],
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"data_format": "channels_last"
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}
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},
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{
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"class_name": "Dropout",
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"config": {
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"name": "dropout",
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"trainable": true,
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"dtype": "float32",
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"rate": 0.25,
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"noise_shape": null,
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"seed": 420
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}
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},
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{
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"class_name": "Flatten",
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"config": {
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"name": "flatten",
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"trainable": true,
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"dtype": "float32",
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"data_format": "channels_last"
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}
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},
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{
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"class_name": "Dense",
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"config": {
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"name": "dense",
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"trainable": true,
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"dtype": "float32",
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"units": 128,
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"activation": "relu",
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"use_bias": true,
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"kernel_initializer": {
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"class_name": "GlorotUniform",
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"config": {
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"seed": 420,
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"dtype": "float32"
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}
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},
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"bias_initializer": {
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"class_name": "Zeros",
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"config": {
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"dtype": "float32"
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}
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},
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{
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"class_name": "Dropout",
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"config": {
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"name": "dropout_1",
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"trainable": true,
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"dtype": "float32",
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"rate": 0.5,
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"noise_shape": null,
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"seed": 420
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}
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},
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{
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"class_name": "Dense",
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"config": {
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"name": "dense_1",
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"trainable": true,
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"dtype": "float32",
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"units": 10,
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"activation": "softmax",
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"use_bias": true,
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"kernel_initializer": {
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"class_name": "GlorotUniform",
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"config": {
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"seed": 420,
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"dtype": "float32"
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}
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},
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"bias_initializer": {
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"class_name": "Zeros",
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"config": {
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"dtype": "float32"
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}
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}
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]
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}
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},
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"training_config": {
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"loss": "categorical_crossentropy",
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"metrics": [
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"accuracy"
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],
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"weighted_metrics": null,
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"sample_weight_mode": null,
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"loss_weights": null,
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"optimizer_config": {
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"class_name": "Adam",
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"config": {
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"name": "Adam",
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"learning_rate": 0.0010000000474974513,
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"decay": 0.0,
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"beta_1": 0.8999999761581421,
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"beta_2": 0.9990000128746033,
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"epsilon": 1e-07,
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"amsgrad": false
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}
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}
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}
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},
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"weightsManifest": [
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{
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"paths": [
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"group1-shard1of1.bin"
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],
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"weights": [
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{
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"name": "conv2d/kernel",
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"shape": [
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1,
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"dtype": "float32"
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},
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{
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"name": "conv2d/bias",
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"shape": [
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],
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"dtype": "float32"
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},
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{
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"name": "conv2d_1/kernel",
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"shape": [
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],
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"dtype": "float32"
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},
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{
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"name": "conv2d_1/bias",
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"shape": [
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],
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"dtype": "float32"
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},
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{
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"name": "dense/kernel",
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"shape": [
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],
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"dtype": "float32"
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},
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{
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"name": "dense/bias",
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"shape": [
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"dtype": "float32"
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},
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{
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"name": "dense_1/kernel",
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"shape": [
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],
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"dtype": "float32"
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},
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{
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"name": "dense_1/bias",
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"shape": [
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],
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"dtype": "float32"
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]
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}
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]
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}
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