Published


The Path to Carbon Neutrality: A Time Series Approach
The following blog was written by Leslie Zhang, a Northeastern graduate who recently joined MathWorks Engineering...

2 years ago

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Published


Time Series Analysis of Trends in Global Carbon Emissions from Fossil Fuels
The following post is from Hang Qian, Software Developer on the Econometrics Toolbox Team. Global carbon emissions have...

2 years ago

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Published


MathWorks Finance Conference 2023
It’s my pleasure to give everyone a sneak peek into the upcoming MathWorks Finance 2023 conference, which will be held...

2 years ago

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Published


Reinforcement Learning as your portfolio advisor
The following post is from Ian Chie, Bowen Fang, Botao Zhang and Yichen Yao from Columbia University. Inspiration Let’s say...

2 years ago

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Published


Quantum Computing for Optimizing Investment Portfolios
The following post is from Sofia Ma, Senior Engineer for Finance Quantum computing is a cutting-edge field of study that...

2 years ago

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Published


The evolution of Quantitative Finance in MATLAB (What’s New)
Hi Everyone, I would like to welcome you to our new blog on Quantitative Finance. To kick things off, I’d like to give an...

2 years ago

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Answered
exportNetworkToTensorFlow is not recognized as a function, despite addon is installed
Hi Karol, exportNetworkToTensorFlow came out in R2022b. Was this the release you tried it in originally? If so, maybe the pref...

3 years ago | 0

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Answered
Matlab R2022a: Are all prediction models available in Matlab?
Genetic Algorithms are available in the Global Optimization Toolbox.

3 years ago | 2

Answered
Is there a fix for trainAutoencoder with GPU speedup that crashes with single precision inputs (OK on double precision inputs)
Hi Kyle, There isn't single precision support for GPU with trainAutoencoder. It's an older implementation of autoencoders. I...

3 years ago | 0

Answered
Can I call the neural network trained in *. mat in Python through the matlab API?
There is a good example that shows how to call MATLAB from Python for deep learning on Github: coexecution_speech_command See ...

3 years ago | 0

Answered
training MLP by learning from PID controller
Hi, Firstly, you may need to train a model that type includes state information, i.e.LSTM. I would recommend trying a LSTM ne...

3 years ago | 0

Answered
Using a python trained neural network
Hi Sania, I would recommend saving the model in the TensorFlow saved model format and then import it via the TensorFlow convert...

3 years ago | 0

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Answered
What is the coffee machine in the Mathworks Lakeside Campus?
There are several coffee options available at MathWorks right now. Do you have any recollection of how the machine looked or wor...

3 years ago | 1

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Answered
Importing Trained Tensorflow/Keras LSTM network into MATLAB
Hi, To use importTensorflowNetwork, you'll first need to convert the model into the SavedModel format in Tensorflow. Here is an...

3 years ago | 0

Answered
train a deep learning model (resnet-50 network) on a remote HPC cluster
Just to confirm, you're sending batch jobs to a HPC cluster that has MATLAB parallel server installed? If so, one option to try...

3 years ago | 0

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Answered
How to pass neural network model as handle for GUI - it always says can't identify!
I believe it should be: handles.Minist_LeNet5 = Minist_LeNet5;

3 years ago | 0

Answered
Bayesian Deep Learning Convolution Network(BDL)?
This is supported as of R2022b. See this example for more details: Train Bayesian Neural Network

3 years ago | 0

Answered
MATLAB API for web
You may not need to have MATLAB act as a server. For example, you could deploy the model you want as a microservice, which you c...

3 years ago | 2

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Answered
convert matlab neural network to onnx
Hi, is it possible to share the model you're looking to export?

3 years ago | 0

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Answered
BERT:how to change the output feature?
Can you explain why you would like to change the output to 300?

3 years ago | 0

Answered
What's the difference between dlnetwork and DAGNetwork about deep learning?
DAGNetwork was the object created when the Deep Learning Toolbox first started supporting CNNs and LSTMs. A few years after dlne...

3 years ago | 1

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Answered
Question about the capabilities of AlexNet Deep Learning
Alexnet is used for Image Classification. What you're looking for is models that can be used for Object Detection. There's a num...

3 years ago | 0

Answered
Calling a python file from matlab/simulink
Hi Rehan, What application is the python model being used for? In simulink, do you need the model to run every time step or do...

3 years ago | 0

Answered
Solving the Burgers Equations with Echo state networks
Hi Mike, I received an update from our development team on this (attached). Whilst not fully worked through, it should serve as...

3 years ago | 0

Answered
Update to 'Why should I choose matlab deep learning toolbox over other opensource frameworks like caffe, onnx, pytorch, torch etc?'
Hi David, Your input is noted. There will likely be an updated response after our upcoming release of R2022b.

3 years ago | 0

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Answered
How to do distributed computations on GCP?
Hi, How would you like to split the heavy ML calculations? Are they for training or inference? How are you looking to deploy? ...

3 years ago | 0

Answered
How to customize performance functions(Neural Network)
Hi, The code you refer to above is referencing the older classic neural networks framework, which is primarily used for shallow...

3 years ago | 0

Answered
How to convert 2D layer to 1D and from 1D to 2D?
Can you describe a little more about your application? I.e. what is your input, is it a matrix of signals or an image?

3 years ago | 0

Answered
Solving the Burgers Equations with Echo state networks
Hi Mike, Are you able to provide the code for your PDE? How long does it take to train?

3 years ago | 0

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Answered
Solving the Burgers Equations with Echo state networks
Hi Mike, Are you able to ellaborate a little more about the problem you're looking to solve? We currently don't have an example...

3 years ago | 0

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