# use the tensorflow implementation
library(keras)
use_implementation("tensorflow")
# use the cntk backend
library(keras)
use_backend("theano")
use_implementation
Select a Keras implementation and backend
Description
Select a Keras implementation and backend
Usage
use_implementation(implementation = c("keras", "tensorflow"))
use_backend(backend = c("tensorflow", "cntk", "theano", "plaidml"))
Arguments
Arguments | Description |
---|---|
implementation | One of “keras” or “tensorflow” (defaults to “keras”). |
backend | One of “tensorflow”, “cntk”, or “theano” (defaults to “tensorflow”) |
Details
Keras has multiple implementations (the original keras implementation and the implementation native to TensorFlow) and supports multiple backends (“tensorflow”, “cntk”, “theano”, and “plaidml”). These functions allow switching between the various implementations and backends. The functions should be called after library(keras)
and before calling other functions within the package (see below for an example). The default implementation and backend should be suitable for most use cases. The “tensorflow” implementation is useful when using Keras in conjunction with TensorFlow Estimators (the tfestimators
R package).