How can I use TensorFlow library from matlab environment?

Question

K M Ibrahim Khalilullah 2016-11-28

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https://ww2.mathworks.cn/matlabcentral/answers/314283-how-can-i-use-tensorflow-library-from-matlab-environment

评论： Oluwanisola Ibikunle 2023-1-25

I want to use or access TensorFlow library from Matlab environment, especially for machine learning. How can I use TensorFlow library from matlab ?

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David Willingham 2022-2-7

Since 2021a, MATLAB supports Framework Interoperability with TensorFlow with a direct importer via importTensorFlowNetwork and importTensorFlowLayers. I'd recommend using these functions over importKerasNetwork or importKerasLayers.

Oluwanisola Ibikunle 2023-1-25

As a follow-up question: If a number of models have been developed in Keras using different versions of Tensorflow (v2.2-2.10) and as a result different versions of Python (3.6,3.9,etc)

How can I build a single MATLAB pipeline that can do a system call from MATLAB such that it abstracts away the different Python versions?

At this point, I'm interested in loading the saved models in .h5 and performing model inference in MATLAB.

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Answer 1

David Willingham 2020-8-27

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编辑：David Willingham 2021-7-4

Hi,

MATLAB supports Framework Interoperability with TensorFlow with a direct importer via importTensorFlowNetwork and importTensorFlowLayers.

Regards,

David Willingham

Deep Learning Product Manager, MathWorks

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Jack Ferrari 2022-5-31

On a related note, with R2022a and later, you can run cosimulations and deploy applications using MATLAB or Simulink with TensorFlow Lite (.tflite) models. With TFLite models, an import process is unnecessary. Instead, you can directly load .tflite model files into MATLAB with loadTFLiteModel.

This functionality requires the Deep Learning Toolbox Interface for TensorFlow Lite. More info on requirements can be found here: Prerequisites for Deep Learning with TensorFlow Lite Models.

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Answer 2

Louis Yu 2017-5-5

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I've went about working on a middle-man solution for new users to Tensorflow that typically utilize Matlab. It's a simple GUI interface that auto-codes the user inputs in the Matlab GUI into a python script that can be run utilizing the Tensorflow Python Interface.

See the file exchange @ Tensorflow for Matlab

For more details on reasons for this implementation, a paper was written over the effort conducted "Benchmarking Open Source Machine Learning Frameworks and Development of Auto-coding Interface for Entry-Level Engineers" .

There is also a github repository I utilized for some test-cases that include Tensorflow snippets: Github Repository for Benchmarking

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Kenn 2017-7-31

编辑：Kenn 2017-7-31

@Louis Yu, congrats on your effort, Tensorflow for Matlab. It looks like it has high potential but there's something not quite right. I mentioned several bugs I found, which make it look like the code could never have worked. Perhaps an earlier, incomplete version got uploaded? Mind taking a look?

Louis Yu 2017-8-5

Updates have been made to the file exchange upload. I've added a few helpful pieces for new users.

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Answer 3

Tom Anderson 2017-4-15

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TensorFlow is a free Python library developed by Google Brain. As of April 2017, it has APIs in other languages (C++, Java and Go), but they are experimental.

MATLAB is a proprietary programming language developed by Mathworks (non-free). It has interfaces to other languages, including Python. Mathworks offers its own Neural Network Toolbox™. There are also plenty of other deep learning MATLAB toolboxes, many listed at http://deeplearning.net/software_links/.

However, running TensorFlow with MATLAB is not supported by TensorFlow or Mathworks. As we can see, the MathWorks File Exchange does not have http://au.mathworks.com/matlabcentral/fileexchange/?utf8=%E2%9C%93&term=tensorflow. Neither does GitHub https://github.com/search?utf8=%E2%9C%93&q=matlab+tensorflow&type=. Until there is a bridge between the two, I would suggest that we are best advised to learn TensorFlow in the supported language (Python). Alternatively, if you already have paid for the MATLAB licenses (Neural Network Toolbox $1,500 Individual) (or belong to an organisation that has), you may consider learning MATLAB and the Neural Network Toolbox. This field is moving quickly, so be prepared to keep paying for the new version of Neural Network Toolbox (updates are not included in the price).

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Christopher Stokely 2019-2-1

编辑：Christopher Stokely 2019-2-3

ONNX_Deep_Learning_Model_Sharing_Standardization.JPG

The MATLAB Neural network toolbos for an individual is about $50, not more than $1000. Look at the license options on the MathWorks website for individual license for noncommercial use.

The Rosetta Stone of deep learning is ONNX (Open Neural Network Exchange), which allows model's to be transferred (I think) between environments such as PyTorch, MXNet, Core ML, Caffe2, TensorFlow, Microsoft Cognitive Toolkit, and MATLAB - I think. Check it out for yourself by searching for the command

exportONNXNetwork

References:

1) Open Neural Network Exchange https://github.com/onnx

2) ONNX. https://onnx.ai

3) MATLAB Documentation https://www.mathworks.com/help/deeplearning/ref/exportonnxnetwork.html

From Mathworks webpage description, see the attached figure to see a summary of supported deep learning frameworks.

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