David Willingham

Last seen: environ un mois il y a | Actif depuis 2016

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Deep Learning in Quantitative Finance: Multiagent Reinforcement Learning for Financial Trading
The following blog was written by Adam Peters, Software Engineer at Mathworks. Download the code for this example from...

2 mois il y a

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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...

4 mois il y a

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

4 mois il y a | 8 téléchargements |

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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...

4 mois il y a

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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...

5 mois il y a

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

5 mois il y a

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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...

6 mois il y a

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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...

6 mois il y a

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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...

8 mois il y a

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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...

9 mois il y a

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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...

9 mois il y a

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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...

10 mois il y a

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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...

11 mois il y a

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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...

12 mois il y a

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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...

environ un an il y a

Réponse apportée
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...

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

plus d'un an il y a | 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...

plus d'un an il y a | 0

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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 ...

plus d'un an il y a | 0

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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...

plus d'un an il y a | 0

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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...

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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...

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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...

presque 2 ans il y a | 0

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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...

presque 2 ans il y a | 0

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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;

presque 2 ans il y a | 0

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

presque 2 ans il y a | 0

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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...

presque 2 ans il y a | 2

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

presque 2 ans il y a | 0

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

presque 2 ans il y a | 0

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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...

presque 2 ans il y a | 1

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David Willingham

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