def xavier_init(fan_in, fan_out, const=1):
    """Xavier initialization of network weights.

    https://stackoverflow.com/questions/33640581/how-to-do-xavier-initialization-on-tensorflow

    :param fan_in: fan in of the network (n_features)
    :param fan_out: fan out of the network (n_components)
    :param const: multiplicative constant
    """
    low = -const * np.sqrt(6.0 / (fan_in + fan_out))
    high = const * np.sqrt(6.0 / (fan_in + fan_out))
    return tf.random_uniform((fan_in, fan_out), minval=low, maxval=high)
Xavier initialization of network weights.

    https://stackoverflow.com/questions/33640581/how-to-do-xavier-initialization-on-tensorflow

    :param fan_in: fan in of the network (n_features)
    :param fan_out: fan out of the network (n_components)
    :param const: multiplicative constant
    
yadlt/utils/utilities.py