¿Cómo convertir el modelo keras a TensorFlow Lite?

How to convert keras model to TensorFlow Lite?

The following example shows how to convert a Keras model into a TensorFlow Lite model. # Create a model using high-level tf.keras.* APIs # Convert the model. # Save the model. The following example shows how to convert concrete functions into a TensorFlow Lite model. Note: Currently, it only supports the conversion of a single concrete function.

With there now being more phones than people this is an excellent strategy to get your neural network literally into the hands of those who need it. One of those most popular libraries for running neural networks on Android phones is Tensorflow Lite. To use it you will need to convert that Keras .h5 file to a Tensorflow .tflite file.

The TensorFlow Lite converter is used to convert TensorFlow models into an optimized FlatBuffer format, so that they can be used by the TensorFlow Lite interpreter.

When you are using the TensorFlow backend, your Keras code is actually building a TF graph. You can just grab this graph. Keras only uses one graph and one session. You can access the session via: K.get_session (). The graph associated with it would then be: K.get_session ().graph. This comment has been minimized.

Convert to Keras model. It is a both-ways converter between Keras and Caffe. It takes the weights from the .caffemodel using caffe_weight_converter and generates an equivalent Keras model. It also outputs the Python source code used to generate that Keras model.

Convert a TensorFlow 2.x model using tf.lite.TFLiteConverter . A TensorFlow 2.x model is stored using the SavedModel format and is generated either using the high-level tf.keras.* APIs (a Keras model) or the low-level tf.* APIs (from which you generate concrete functions).

Convert PyTorch to Caffe2 (making it especially easy to deploy on mobile devices) Convert to CNTK model. The tool will help you convert trained models from Caffe to CNTK. Convert trained models: giving a model script and its weights file, export to CNTK model. Convert to Theano/Lasagne model.