Keras custom layer using tensorflow function I was wondering if there is any other way to write my own Keras layer instead of inheritance way as given in their documentation? My colleague is more comfortable in tensorflow and he gave me a tensorflow function that does the job of the layer. Do I necessarily have to rewrite it as Keras' inherited layer?
you can overwrite tensorflow classes and add you function as layer as colleague mentioned but Keras is just high level API to tensorflow and that layer can be called from keras.