David Willingham

Last seen: 7 días hace | Con actividad desde 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...

15 días hace

Enviada

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

21 días hace | 12 descargas |

Publicado

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...

alrededor de 1 mes hace

Publicado

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...

alrededor de 2 meses hace

Publicado

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

alrededor de 2 meses hace

Publicado

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...

3 meses hace

Publicado

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 meses hace

Publicado

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 meses hace

Publicado

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 meses hace

Publicado

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 meses hace

Publicado

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 meses hace

Publicado

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 meses hace

Publicado

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 meses hace

Publicado

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 meses hace

Respondida
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...

más de 1 año hace | 0

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

más de 1 año hace | 2

Respondida
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...

más de 1 año hace | 0

Respondida
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 ...

más de 1 año hace | 0

Respondida
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...

más de 1 año hace | 0

Respondida
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...

más de 1 año hace | 0

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Respondida
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...

más de 1 año hace | 1

| aceptada

Respondida
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...

más de 1 año hace | 0

Respondida
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...

más de 1 año hace | 0

| aceptada

Respondida
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;

más de 1 año hace | 0

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

más de 1 año hace | 0

Respondida
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...

más de 1 año hace | 2

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

más de 1 año hace | 0

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

más de 1 año hace | 0

Respondida
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...

más de 1 año hace | 1

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Respondida
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...

más de 1 año hace | 0

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