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model_100.yaml
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model_100.yaml
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backend: tensorflow
class_name: Sequential
config:
layers:
- class_name: Conv2D
config:
activation: relu
activity_regularizer: null
batch_input_shape: !!python/tuple
- null
- 150
- 150
- 3
bias_constraint: null
bias_initializer:
class_name: Zeros
config:
dtype: float32
bias_regularizer: null
data_format: channels_last
dilation_rate: &id001 !!python/tuple
- 1
- 1
dtype: float32
filters: 16
kernel_constraint: null
kernel_initializer:
class_name: GlorotUniform
config:
dtype: float32
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_12
padding: same
strides: *id001
trainable: true
use_bias: true
- class_name: MaxPooling2D
config:
data_format: channels_last
dtype: float32
name: max_pooling2d_12
padding: valid
pool_size: &id002 !!python/tuple
- 2
- 2
strides: *id002
trainable: true
- class_name: Conv2D
config:
activation: relu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config:
dtype: float32
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 32
kernel_constraint: null
kernel_initializer:
class_name: GlorotUniform
config:
dtype: float32
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_13
padding: same
strides: *id001
trainable: true
use_bias: true
- class_name: MaxPooling2D
config:
data_format: channels_last
dtype: float32
name: max_pooling2d_13
padding: valid
pool_size: *id002
strides: *id002
trainable: true
- class_name: Conv2D
config:
activation: relu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config:
dtype: float32
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 64
kernel_constraint: null
kernel_initializer:
class_name: GlorotUniform
config:
dtype: float32
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_14
padding: same
strides: *id001
trainable: true
use_bias: true
- class_name: MaxPooling2D
config:
data_format: channels_last
dtype: float32
name: max_pooling2d_14
padding: valid
pool_size: *id002
strides: *id002
trainable: true
- class_name: Flatten
config:
data_format: channels_last
dtype: float32
name: flatten_4
trainable: true
- class_name: Dense
config:
activation: relu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config:
dtype: float32
bias_regularizer: null
dtype: float32
kernel_constraint: null
kernel_initializer:
class_name: GlorotUniform
config:
dtype: float32
seed: null
kernel_regularizer: null
name: dense_8
trainable: true
units: 256
use_bias: true
- class_name: Dropout
config:
dtype: float32
name: dropout_1
noise_shape: null
rate: 0.5
seed: null
trainable: true
- class_name: Dense
config:
activation: softmax
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config:
dtype: float32
bias_regularizer: null
dtype: float32
kernel_constraint: null
kernel_initializer:
class_name: GlorotUniform
config:
dtype: float32
seed: null
kernel_regularizer: null
name: dense_9
trainable: true
units: 17
use_bias: true
name: sequential_4
keras_version: 2.2.4-tf