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model_rms.yaml
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model_rms.yaml
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backend: !!python/unicode 'theano'
class_name: Sequential
config:
- class_name: Dense
config:
activation: relu
activity_regularizer: null
batch_input_shape: !!python/tuple [66, 10, 88]
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
dtype: float32
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: 4
use_bias: true
- class_name: Flatten
config: {name: flatten_1, trainable: true}
- class_name: Dense
config:
activation: relu
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_2
trainable: true
units: 256
use_bias: true
- class_name: Dense
config:
activation: relu
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_3
trainable: true
units: 256
use_bias: true
- class_name: Dropout
config: {name: dropout_1, rate: 0.5, trainable: true}
- class_name: Dense
config:
activation: relu
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_4
trainable: true
units: 4
use_bias: true
- class_name: Dropout
config: {name: dropout_2, rate: 0.5, trainable: true}
- class_name: Activation
config: {activation: softmax, name: activation_1, trainable: true}
keras_version: 2.0.5