David Willingham

Last seen: 4日前 | 2016 年からアクティブ

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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...

23日前

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

30日前 | ダウンロード 9 件 |

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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...

約1ヶ月前

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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...

約2ヶ月前

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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...

約2ヶ月前

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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...

3ヶ月前

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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...

3ヶ月前

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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...

5ヶ月前

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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...

6ヶ月前

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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...

6ヶ月前

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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...

7ヶ月前

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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...

8ヶ月前

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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...

9ヶ月前

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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...

11ヶ月前

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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...

1年以上前 | 0

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

1年以上前 | 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...

1年以上前 | 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 ...

1年以上前 | 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...

1年以上前 | 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...

1年以上前 | 0

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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...

1年以上前 | 1

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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...

1年以上前 | 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...

1年以上前 | 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;

1年以上前 | 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

1年以上前 | 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...

1年以上前 | 2

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

1年以上前 | 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?

1年以上前 | 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...

1年以上前 | 1

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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...

1年以上前 | 0

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