David Willingham

Last seen: 5 giorni fa | Attivo dal 2016

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Managing and Fine-Tuning Portfolio Optimization Workflows with Experiment Manager
The following blog was written by Sara Galante, Senior Finance Application Engineer at Mathworks. The code used to develop...

20 giorni fa

Pubblicato

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...

circa un mese fa

Pubblicato

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...

circa 2 mesi fa

Pubblicato

MathWorks Finance Conference 2023 preview (Oct 11 – 12)
It’s my pleasure to give everyone a sneak peek into the upcoming MathWorks Finance 2023 conference, which will be held...

2 mesi fa

Pubblicato

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...

3 mesi fa

Pubblicato

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...

4 mesi fa

Inviato

MATLAB Deep Learning Model Hub
Discover pretrained models for deep learning in MATLAB

6 mesi fa | 7 download |

Pubblicato

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...

7 mesi fa

Risposto
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...

11 mesi fa | 0

| accettato

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

12 mesi fa | 2

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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...

circa un anno fa | 0

Risposto
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 ...

circa un anno fa | 0

Risposto
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...

circa un anno fa | 0

Risposto
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...

circa un anno fa | 0

| accettato

Risposto
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...

circa un anno fa | 1

| accettato

Risposto
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...

circa un anno fa | 0

Risposto
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...

circa un anno fa | 0

| accettato

Risposto
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;

circa un anno fa | 0

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

circa un anno fa | 0

Risposto
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...

circa un anno fa | 2

| accettato

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

circa un anno fa | 0

| accettato

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

circa un anno fa | 0

Risposto
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...

circa un anno fa | 1

Risposto
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...

circa un anno fa | 0

Risposto
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...

circa un anno fa | 0

Risposto
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...

circa un anno fa | 0

Risposto
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.

circa un anno fa | 0

| accettato

Risposto
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? ...

circa un anno fa | 0

Risposto
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...

circa un anno fa | 0

Risposto
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?

circa un anno fa | 0

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David Willingham

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