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arg.txt
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arg.txt
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---Input object
shape: None; batch_size: None; dtype: None; sparse: None; tensor: None; ragged: None; type_spec: None
---Dense layer
units: INPUT; activation: None; use_bias: True; kernel_initializer: "glorot_uniform"; bias_initializer: "zeros"; kernel_regularizer: None; bias_regularizer: None; activity_regularizer: None; kernel_constraint: None; bias_constraint: None
---Activation layer
activation: INPUT
---Embedding layer
input_dim: INPUT; output_dim: INPUT; embeddings_initializer: "uniform"; embeddings_regularizer: None; activity_regularizer: None; embeddings_constraint: None; mask_zero: False; input_length: None
---Masking layer
mask_value: 0.0
---Lambda layer
function: INPUT; output_shape: None; mask: None; arguments: None
---Output layer
file: None
---Conv1D layer
filters: INPUT; kernel_size: INPUT; strides: 1; padding: "valid"; data_format: "channels_last"; dilation_rate: 1; groups: 1; activation: None; use_bias: True; kernel_initializer: "glorot_uniform"; bias_initializer: "zeros"; kernel_regularizer: None; bias_regularizer: None; activity_regularizer: None; kernel_constraint: None; bias_constraint: None
---Conv2D layer
filters: INPUT; kernel_size: INPUT; strides: (1,1); padding: "valid"; data_format: None; dilation_rate: (1,1); groups: 1; activation: None; use_bias: True; kernel_initializer: "glorot_uniform"; bias_initializer: "zeros"; kernel_regularizer: None; bias_regularizer: None; activity_regularizer: None; kernel_constraint: None; bias_constraint: None
---Conv3D layer
filters: INPUT; kernel_size: INPUT; strides: (1,1,1); padding: "valid"; data_format: None; dilation_rate: (1,1,1); groups: 1; activation: None; use_bias: True; kernel_initializer: "glorot_uniform"; bias_initializer: "zeros"; kernel_regularizer: None; bias_regularizer: None; activity_regularizer: None; kernel_constraint: None; bias_constraint: None
---SeparableConv1D layer
filters: INPUT; kernel_size: INPUT; strides: 1; padding: "valid"; data_format: None; dilation_rate: 1; depth_multiplier: 1; activation: None; use_bias: True; depthwise_initializer: "glorot_uniform"; pointwise_initializer: "glorot_uniform"; bias_initializer: "zeros"; depthwise_regularizer: None; pointwise_regularizer: None; bias_regularizer: None; activity_regularizer: None; depthwise_constraint: None; pointwise_constraint: None; bias_constraint: None
---SeparableConv2D layer
filters: INPUT; kernel_size: INPUT; strides: (1,1); padding: "valid"; data_format: None; dilation_rate: (1,1); depth_multiplier: 1; activation: None; use_bias: True; depthwise_initializer: "glorot_uniform"; pointwise_initializer: "glorot_uniform"; bias_initializer: "zeros"; depthwise_regularizer: None; pointwise_regularizer: None; bias_regularizer: None; activity_regularizer: None; depthwise_constraint: None; pointwise_constraint: None; bias_constraint: None
---DepthwiseConv2D layer
kernel_size: INPUT; strides: (1,1); padding: "valid"; depth_multiplier: 1; data_format: None; dilation_rate: (1,1); activation: None; use_bias: True; depthwise_initializer: "glorot_uniform"; bias_initializer: "zeros"; depthwise_regularizer: None; bias_regularizer: None; activity_regularizer: None; depthwise_constraint: None; bias_constraint: None
---Conv2DTranspose layer
filters: INPUT; kernel_size: INPUT; strides: (1,1); padding: "valid"; output_padding: None; data_format: None; dilation_rate: (1,1); activation: None; use_bias: True; kernel_initializer: "glorot_uniform"; bias_initializer: "zeros"; kernel_regularizer: None; bias_regularizer: None; activity_regularizer: None; kernel_constraint: None; bias_constraint: None
---Conv3DTranspose layer
filters: INPUT; kernel_size: INPUT; strides: (1,1,1); padding: "valid"; output_padding: None; data_format: None; dilation_rate: (1,1,1); activation: None; use_bias: True; kernel_initializer: "glorot_uniform"; bias_initializer: "zeros"; kernel_regularizer: None; bias_regularizer: None; activity_regularizer: None; kernel_constraint: None; bias_constraint: None
---MaxPooling1D layer
pool_size: 2; strides: None; padding: "valid"; data_format: "channels_last"
---MaxPooling2D layer
pool_size: (2,2); strides: None; padding: "valid"; data_format: None
---MaxPooling3D layer
pool_size: (2,2,2); strides: None; padding: "valid"; data_format: None
---AveragePooling1D layer
pool_size: 2; strides: None; padding: "valid"; data_format: "channels_last"
---AveragePooling2D layer
pool_size: (2,2); strides: None; padding: "valid"; data_format: None
---AveragePooling3D layer
pool_size: (2,2,2); strides: None; padding: "valid"; data_format: None
---GlobalMaxPooling1D layer
data_format: "channels_last"; keepdims: False
---GlobalMaxPooling2D layer
data_format: None; keepdims: False
---GlobalMaxPooling3D layer
data_format: None; keepdims: False
---GlobalAveragePooling1D layer
data_format: "channels_last"
---GlobalAveragePooling2D layer
data_format: None; keepdims: False
---GlobalAveragePooling3D layer
data_format: None; keepdims: False
---LSTM layer
units: INPUT; activation: "tanh"; recurrent_activation: "sigmoid"; use_bias: True; kernel_initializer: "glorot_uniform"; recurrent_initializer: "orthogonal"; bias_initializer: "zeros"; unit_forget_bias: True; kernel_regularizer: None; recurrent_regularizer: None; bias_regularizer: None; activity_regularizer: None; kernel_constraint: None; recurrent_constraint: None; bias_constraint: None; dropout: 0.0; recurrent_dropout: 0.0; return_sequences: False; return_state: False; go_backwards: False; stateful: False; time_major: False; unroll: False
---GRU layer
units: INPUT; activation: "tanh"; recurrent_activation: "sigmoid"; use_bias: True; kernel_initializer: "glorot_uniform"; recurrent_initializer: "orthogonal"; bias_initializer: "zeros"; kernel_regularizer: None; recurrent_regularizer: None; bias_regularizer: None; activity_regularizer: None; kernel_constraint: None; recurrent_constraint: None; bias_constraint: None; dropout: 0.0; recurrent_dropout: 0.0; return_sequences: False; return_state: False; go_backwards: False; stateful: False; unroll: False; time_major: False; reset_after: True
---SimpleRNN layer
units: INPUT; activation: "tanh"; use_bias: True; kernel_initializer: "glorot_uniform"; recurrent_initializer: "orthogonal"; bias_initializer: "zeros"; kernel_regularizer: None; recurrent_regularizer: None; bias_regularizer: None; activity_regularizer: None; kernel_constraint: None; recurrent_constraint: None; bias_constraint: None; dropout: 0.0; recurrent_dropout: 0.0; return_sequences: False; return_state: False; go_backwards: False; stateful: False; unroll: False
---TimeDistributed layer
layer: INPUT
---Bidirectional layer
layer: INPUT; merge_mode: "concat"; weights: None; backward_layer: None
---ConvLSTM2D layer
filters: INPUT; kernel_size: INPUT; strides: (1,1); padding: "valid"; data_format: None; dilation_rate: (1,1); activation: "tanh"; recurrent_activation: "hard_sigmoid"; use_bias: True; kernel_initializer: "glorot_uniform"; recurrent_initializer: "orthogonal"; bias_initializer: "zeros"; unit_forget_bias: True; kernel_regularizer: None; recurrent_regularizer: None; bias_regularizer: None; activity_regularizer: None; kernel_constraint: None; recurrent_constraint: None; bias_constraint: None; return_sequences: False; return_state: False; go_backwards: False; stateful: False; dropout: 0.0; recurrent_dropout: 0.0
---Base RNN layer
cell: INPUT; return_sequences: False; return_state: False; go_backwards: False; stateful: False; unroll: False; time_major: False
---BatchNormalization layer
axis: 1; momentum: 0.99; epsilon: 0.001; center: True; scale: True; beta_initializer: "zeros"; gamma_initializer: "ones"; moving_mean_initializer: "zeros"; moving_variance_initializer: "ones"; beta_regularizer: None; gamma_regularizer: None; beta_constraint: None; gamma_constraint: None
---LayerNormalization layer
axis: 1; epsilon: 0.001; center: True; scale: True; beta_initializer: "zeros"; gamma_initializer: "ones"; beta_regularizer: None; gamma_regularizer: None; beta_constraint: None; gamma_constraint: None
---Dropout layer
rate: INPUT; noise_shape: None; seed: None
---SpatialDropout1D layer
rate: INPUT
---SpatialDropout2D layer
rate: INPUT; data_format: None
---SpatialDropout3D layer
rate: INPUT; data_format: None
---GaussianDropout layer
rate: INPUT
---GaussianNoise layer
stddev: INPUT
---ActivityRegularization layer
l1: 0.0; l2: 0.0
---AlphaDropout layer
rate: INPUT; noise_shape: None; seed: None
---MultiHeadAttention layer
num_heads: INPUT; key_dim: INPUT; value_dim: None; dropout: 0.0; use_bias: True; output_shape: None; attention_axes: None; kernel_initializer: "glorot_uniform"; bias_initializer: "zeros"; kernel_regularizer: None; bias_regularizer: None; activity_regularizer: None; kernel_constraint: None; bias_constraint: None
---Attention layer
use_scale: False
---AdditiveAttention layer
use_scale: True
---Reshape layer
target_shape: INPUT
---Flatten layer
data_format: None
---RepeatVector layer
n: INPUT
---Permute layer
dims: INPUT
---Cropping1D layer
cropping: (1,1)
---Cropping2D layer
cropping: ((0,0), (0,0)); data_format: None
---Cropping3D layer
cropping: ((1,1), (1,1), (1,1)); data_format: None
---UpSampling1D layer
size: 2
---UpSampling2D layer
size: (2,2); data_format: None; interpolation: "nearest"
---UpSampling3D layer
size: (2,2,2); data_format: None
---ZeroPadding1D layer
padding: 1
---ZeroPadding2D layer
padding: (1,1); data_format: None
---ZeroPadding3D layer
padding: (1,1,1); data_format: None
---Concatenate layer
axis: 1
---Average layer
---Maximum layer
---Minimum layer
---Add layer
---Subtract layer
---Multiply layer
---Dot layer
axes: INPUT; normalize: False
---LocallyConnected1D layer
filters: INPUT; kernel_size: INPUT; strides: 1; padding: "valid"; data_format: None; activation: None; use_bias: True; kernel_initializer: "glorot_uniform"; bias_initializer: "zeros"; kernel_regularizer: None; bias_regularizer: None; activity_regularizer: None; kernel_constraint: None; bias_constraint: None; implementation: 1
---LocallyConnected2D layer
filters: INPUT; kernel_size: INPUT; strides: (1,1); padding: "valid"; data_format: None; activation: None; use_bias: True; kernel_initializer: "glorot_uniform"; bias_initializer: "zeros"; kernel_regularizer: None; bias_regularizer: None; activity_regularizer: None; kernel_constraint: None; bias_constraint: None; implementation: 1
---ReLU layer
max_value: None; negative_slope: 0; threshold: 0
---Softmax layer
axis: 1
---LeakyReLU layer
alpha: 0.3
---PReLU layer
alpha_initializer: "zeros"; alpha_regularizer: None; alpha_constraint: None; shared_axes: None
---ELU layer
alpha: 1.0
---ThresholdedReLU layer
theta: 1.0
---Model
inputs: X_input; outputs: ; name: INPUT
---Compile
optimizer: "adam"; loss: "binary_crossentropy"; metrics: ['accuracy']; loss_weights: None; weighted_metrics: None; run_eagerly: None; steps_per_execution: None
---Fit
x: None; y: None; batch_size: 1; epochs: 1; verbose: "auto"; callbacks: None; validation_split: 0.0; validation_data: None; shuffle: True; class_weight: None; sample_weight: None; initial_epoch: 0; steps_per_epoch: None; validation_steps: None; validation_batch_size: None; validation_freq: 1; max_queue_size: 10; workers: 1; use_multiprocessing: False
---Evaluate
x: None; y: None; batch_size: None; verbose: "auto"; sample_weight: None; steps: None; callbacks: None; max_queue_size: 10; workers: 1; use_multiprocessing: False; return_dict: False
---Predict
x: None; batch_size: None; verbose: "auto"; steps: None; callbacks: None; max_queue_size: 10; workers: 1; use_multiprocessing: False
---Save model
include_optimizer: True; save_format: None; signatures: None; options: None; save_traces: True
---Save weights
include_optimizer: True; save_format: None; signatures: None; options: None; save_traces: True