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Custom initializer for Keras
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| import keras.backend as K | |
| import numpy as np | |
| def custom_uniform(shape, range=(-1, 1), name=None): | |
| min_, max_ = range | |
| return K.variable(np.random.uniform(low=min_, high=max_, size=shape), name=name) | |
| net.add(Dense(10, input_dim=5, init=lambda shape, name: custom_uniform(shape, (-10, 5), name))) |
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