(initializer="ones")
| 108 | |
| 109 | |
| 110 | def make_keras_model(initializer="ones"): |
| 111 | model_input = keras.Input(shape=(10,)) |
| 112 | x = keras.layers.Dense( |
| 113 | 64, kernel_initializer=initializer, bias_initializer="zeros")(model_input) |
| 114 | x = keras.layers.Dense( |
| 115 | 128, kernel_initializer=initializer, bias_initializer="zeros")(x) |
| 116 | x = keras.layers.Dense( |
| 117 | 256, kernel_initializer=initializer, bias_initializer="zeros")(x) |
| 118 | x = keras.layers.Dense( |
| 119 | 256, kernel_initializer=initializer, bias_initializer="zeros")(x) |
| 120 | x = keras.layers.Dense( |
| 121 | 10, kernel_initializer=initializer, bias_initializer="zeros")(x) |
| 122 | return keras.Model(inputs=model_input, outputs=x) |
| 123 | |
| 124 | |
| 125 | def make_sequential_keras_model(initializer="ones"): |
no test coverage detected