Araragi
2 years ago
12 changed files with 48142 additions and 31024 deletions
@ -1,2 +1,5 @@ |
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src/weights.js |
src/weights.js |
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main.user.js |
JKCS.user.js |
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firefox/polyfill.min.js |
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firefox/browser-polyfill.min.js |
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chrome/browser-polyfill.min.js |
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(() => { |
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// src/model.js
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window.modelJSON = { |
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format: "layers-model", |
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generatedBy: "keras v2.4.0", |
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convertedBy: "TensorFlow.js Converter v3.7.0", |
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modelTopology: { |
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keras_version: "2.4.0", |
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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: "InputLayer", |
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config: { |
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batch_input_shape: [null, null, 80, 1], |
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dtype: "float32", |
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sparse: false, |
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ragged: false, |
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name: "conv2d_input" |
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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", |
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trainable: true, |
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batch_input_shape: [null, null, 80, 1], |
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dtype: "float32", |
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filters: 40, |
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kernel_size: [3, 3], |
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strides: [1, 1], |
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padding: "same", |
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data_format: "channels_last", |
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dilation_rate: [1, 1], |
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groups: 1, |
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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: { seed: null } |
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}, |
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bias_initializer: { class_name: "Zeros", config: {} }, |
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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: [2, 2], |
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padding: "same", |
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strides: [2, 2], |
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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: "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: 60, |
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kernel_size: [3, 3], |
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strides: [1, 1], |
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padding: "same", |
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data_format: "channels_last", |
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dilation_rate: [1, 1], |
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groups: 1, |
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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: { seed: null } |
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}, |
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bias_initializer: { class_name: "Zeros", config: {} }, |
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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_1", |
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trainable: true, |
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dtype: "float32", |
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pool_size: [2, 2], |
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padding: "same", |
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strides: [2, 2], |
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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: "Reshape", |
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config: { |
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name: "reshape", |
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trainable: true, |
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dtype: "float32", |
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target_shape: [-1, 1200] |
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} |
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}, |
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{ |
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class_name: "Bidirectional", |
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config: { |
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name: "bidi", |
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trainable: true, |
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dtype: "float32", |
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layer: { |
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class_name: "LSTM", |
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config: { |
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name: "lstm", |
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trainable: true, |
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dtype: "float32", |
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return_sequences: true, |
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return_state: false, |
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go_backwards: false, |
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stateful: false, |
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unroll: false, |
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time_major: false, |
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units: 200, |
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activation: "tanh", |
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recurrent_activation: "sigmoid", |
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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: { seed: null } |
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}, |
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recurrent_initializer: { |
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class_name: "Orthogonal", |
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config: { gain: 1, seed: null } |
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}, |
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bias_initializer: { class_name: "Zeros", config: {} }, |
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unit_forget_bias: true, |
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kernel_regularizer: null, |
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recurrent_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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recurrent_constraint: null, |
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bias_constraint: null, |
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dropout: 0, |
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recurrent_dropout: 0, |
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implementation: 2 |
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} |
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}, |
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merge_mode: "concat" |
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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: 22, |
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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: { seed: null } |
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}, |
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bias_initializer: { class_name: "Zeros", config: {} }, |
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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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} |
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}, |
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training_config: { |
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loss: null, |
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metrics: null, |
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weighted_metrics: null, |
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loss_weights: null, |
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optimizer_config: { |
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class_name: "RMSprop", |
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config: { |
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name: "RMSprop", |
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learning_rate: 1e-3, |
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decay: 0, |
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rho: 0.9, |
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momentum: 0, |
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epsilon: 1e-7, |
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centered: 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: ["group1-shard1of1.bin"], |
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weights: [ |
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{ |
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name: "bidi/forward_lstm/lstm_cell_4/kernel", |
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shape: [1200, 800], |
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dtype: "float32" |
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}, |
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{ |
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name: "bidi/forward_lstm/lstm_cell_4/recurrent_kernel", |
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shape: [200, 800], |
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dtype: "float32" |
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}, |
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{ |
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name: "bidi/forward_lstm/lstm_cell_4/bias", |
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shape: [800], |
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dtype: "float32" |
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}, |
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{ |
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name: "bidi/backward_lstm/lstm_cell_5/kernel", |
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shape: [1200, 800], |
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dtype: "float32" |
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}, |
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{ |
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name: "bidi/backward_lstm/lstm_cell_5/recurrent_kernel", |
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shape: [200, 800], |
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dtype: "float32" |
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}, |
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{ |
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name: "bidi/backward_lstm/lstm_cell_5/bias", |
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shape: [800], |
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dtype: "float32" |
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}, |
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{ name: "conv2d/kernel", shape: [3, 3, 1, 40], dtype: "float32" }, |
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{ name: "conv2d/bias", shape: [40], dtype: "float32" }, |
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{ name: "conv2d_1/kernel", shape: [3, 3, 40, 60], dtype: "float32" }, |
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{ name: "conv2d_1/bias", shape: [60], dtype: "float32" }, |
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{ name: "dense/kernel", shape: [400, 22], dtype: "float32" }, |
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{ name: "dense/bias", shape: [22], 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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{"addons":{"{4127d5ac-25a0-4453-8d51-bb2eec2ae629}":{"updates":[{"version":"0.4","update_link":"https://git.coom.tech/araragi/JKCS/raw/branch/master/JKCS-0.4.xpi"}]}}} |
Before Width: | Height: | Size: 1.5 KiB After Width: | Height: | Size: 78 KiB |
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