David Willingham

Last seen: 5 dagar ago | Active since 2016

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Key Insights from our Executive Panel Discussion: Addressing Climate Risk through effective Stress Testing, Reporting, and Governance
Background In the rapidly evolving landscape of financial risk management, addressing climate risk has emerged as a...

13 dagar ago

Submitted

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

20 dagar ago | 12 downloads |

Published

MATLAB Portfolio Backtesting – A new app now on GitHub!
The following blog was written by Sara Galante, Senior Finance Application Engineer at Mathworks. MathWorks has a new...

ungefär en månad ago

Published

Top MATLAB Quantitative Finance Resources now on GitHub
The following blog was written by Sara Galante, Senior Finance Application Engineer at Mathworks. MathWorks now has a...

ungefär 2 månader ago

Published

Model Monitoring and Drift Detection with Modelscape
MathWorks recently hosted a webinar on Model Monitoring and Drift Detection, where Paul Peeling presented strategies for...

ungefär 2 månader ago

Published

Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction
The following blog was written by Owen Lloyd , a Penn State graduate who recently join the MathWorks Engineering...

2 månader ago

Published

Climate Risk in Finance: Insights from Our Comprehensive Executive Panel Discussion
The following blog was written by Arpit Narain from the MathWorks Finance team. 1. Introduction In today’s financial...

3 månader ago

Published

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...

5 månader ago

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...

6 månader ago

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...

6 månader ago

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...

7 månader ago

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...

8 månader ago

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...

9 månader ago

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...

11 månader ago

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...

mer än ett år ago | 0

| accepted

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

mer än ett år 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...

mer än ett år 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 ...

mer än ett år 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...

mer än ett år 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...

mer än ett år 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...

mer än ett år ago | 1

| accepted

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...

mer än ett år 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...

mer än ett år 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;

mer än ett år 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

mer än ett år 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...

mer än ett år ago | 2

| accepted

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

mer än ett år 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?

mer än ett år 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...

mer än ett år ago | 1

| accepted

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...

mer än ett år ago | 0

David Willingham

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