Categorical crossentropy with integer targets.

    Categorical crossentropy with integer targets.

    k_sparse_categorical_crossentropy(
      target,
      output,
      from_logits = FALSE,
      axis = -1
    )

    Arguments

    target

    An integer tensor.

    output

    A tensor resulting from a softmax (unless from_logits is TRUE, in which case output is expected to be the logits).

    from_logits

    Boolean, whether output is the result of a softmax, or is a tensor of logits.

    axis

    Axis (axis indexes are 1-based). Pass -1 (the default) to select the last axis.

    Value

    Output tensor.

    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.