Computes mean and std for batch then apply batch_normalization on batch.

    Computes mean and std for batch then apply batch_normalization on batch.

    k_normalize_batch_in_training(x, gamma, beta, reduction_axes, epsilon = 0.001)

    Arguments

    x

    Input tensor or variable.

    gamma

    Tensor by which to scale the input.

    beta

    Tensor with which to center the input.

    reduction_axes

    iterable of integers, axes over which to normalize.

    epsilon

    Fuzz factor.

    Value

    A list length of 3, (normalized_tensor, mean, variance).

    Keras Backend

    This function is part of a set of Keras backend functions that enable lower level access to the core operations of the backend tensor engine (e.g. TensorFlow, CNTK, Theano, etc.).

    You can see a list of all available backend functions here: https://keras.rstudio.com/articles/backend.html#backend-functions.