serialize_model

unserialize_model

Model objects are external references to Keras objects which cannot be saved
and restored across R sessions. The <code>serialize_model()</code> and
<code>unserialize_model()</code> functions provide facilities to convert Keras models to
R objects for persistence within R data files.

Interface to 'Keras' <https://keras.io>, a high-level neural
networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation,
supports both convolution based networks and recurrent networks (as well as
combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.

Tomasz Kalinowski

keras

R Interface to 'Keras'

Daniel Falbel

JJ Allaire

François Chollet

RStudio 

Google 

Yuan Tang

Wouter Van Der Bijl

Martin Studer

Sigrid Keydana

serialize_model function

<dl><dt>model</dt>
<dd>Keras model or R "raw" object containing serialized Keras model.</dd>
<dt>include_optimizer</dt>
<dd>If <code>TRUE</code>, save optimizer's state.</dd>
<dt>custom_objects</dt>
<dd>Mapping class names (or function names) of custom
(non-Keras) objects to class/functions (for example, custom metrics
or custom loss functions). This mapping can be done with the dict()
function of reticulate.</dd>
<dt>compile</dt>
<dd>Whether to compile the model after loading.</dd></dl>

Arguments

Serialize a model to an R object — serialize_model

<dl>

<dt>model</dt>
<dd>Keras model or R "raw" object containing serialized Keras model.</dd>


<dt>include_optimizer</dt>
<dd>If <code>TRUE</code>, save optimizer's state.</dd>


<dt>custom_objects</dt>
<dd>Mapping class names (or function names) of custom
(non-Keras) objects to class/functions (for example, custom metrics
or custom loss functions). This mapping can be done with the dict()
function of reticulate.</dd>


<dt>compile</dt>
<dd>Whether to compile the model after loading.</dd>

</dl>

Serialize a model to an R object

serialize_model: Serialize a model to an R object

Description

Usage

Value

Arguments

See Also