Created
April 19, 2018 15:22
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sample vgg like 1dconvs on freque
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| def get_1dconvs_maxpool_freq_deep( x_in, kernel_size=2): | |
| p=0.0 | |
| x = BatchNormalization()(x_in) | |
| x = Conv1D(64,kernel_size,padding='same')(x) | |
| x = batch_relu(x) | |
| x = Conv1D(64,kernel_size,padding='same')(x) | |
| x = batch_relu(x) | |
| x = Dropout(p/2)(x) | |
| x = MaxPooling1D(2)(x) | |
| x = Conv1D(128,3,padding='same')(x) | |
| x = batch_relu(x) | |
| x = Conv1D(128,3,padding='same')(x) | |
| x = batch_relu(x) | |
| x = Dropout(p/2)(x) | |
| x = MaxPooling1D(2)(x) | |
| x = Conv1D(128,3,padding='same')(x) | |
| x = batch_relu(x) | |
| x = Conv1D(128,3,padding='same')(x) | |
| x = batch_relu(x) | |
| x = Dropout(p/2)(x) | |
| x = MaxPooling1D(2)(x) | |
| x = Conv1D(128,3,padding='same')(x) | |
| x = batch_relu(x) | |
| x = Conv1D(128,3,padding='same')(x) | |
| x = batch_relu(x) | |
| x = Dropout(p/2)(x) | |
| x = AveragePooling1D(2)(x) | |
| x_max = GlobalMaxPooling1D()(x) | |
| return x_max |
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