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David Willingham


Last seen: en dag ago

MathWorks

29 total contributions since 2016

Deep Learning Product Manager

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Answered
Training neural network using parallel computing on high-performance computing (HPC) cluster.
Hi Pardhasai, MATLAB Parallel Server enables you to access all the cores on a cluster. It handles all the back end scheduling a...

4 dagar ago | 1

| accepted

Answered
MATLAB Deep Learning Training with GPU using Neural Networks
Hi Mohammad, As you have pointed out with your application, some deep learning training tasks can take a long time. My suggesti...

6 dagar ago | 0

| accepted

Answered
LSTM encoder-decoder model
Hi Tomoohiro, See this example of how to perform Time Series Forecasting using LSTM in MATLAB. David

11 dagar ago | 0

Answered
Is there a way to create an LSTM Autoencoder for time-series data?
Hi Barry, Here's an example of using LSTM based Autoencoders on our GitHub page: Industrial Machinery Anomaly Detection using a...

12 dagar ago | 0

Answered
How to prepare data for neural network scheduling problem?
Hi Jan, You can certaintly join them, but you'd likely need to add another column stating which machine they're from. Another...

12 dagar ago | 0

| accepted

Answered
Is it possible to install matlab in a docker image?
In addition to GitHub, the MATLAB container is also now available in dockerhub! https://hub.docker.com/r/mathworks/matlab

ungefär en månad ago | 2

Submitted


Fault Detection Using Deep Learning Classification
This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition ...

ungefär 2 månader ago | 73 downloads |

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Answered
Research program support MathWorks
Hi John Navarro, MathWorks is active in supporting the Research community. Current and past partnerships have included collobor...

5 månader ago | 2

| accepted

Answered
Performance of GPU & CPU during deep learning
Hi Ali Al-Saegh, For training, you can use either the CPU or the GPU. For certain Deep Learning problems which can a long time ...

7 månader ago | 1

| accepted

Answered
Using deep learning parfor to predict in parfor get GPU out of memory issues
Hi Xiangxue Wang, 1. Set the 'ExecutionEnvironment'to 'cpu' in your predict function. Documentation on this can be found here. ...

7 månader ago | 0

| accepted

Answered
Is Deep Learning HDL Toolbox supports custom board based on zynq-7000 XC7Z010
Hi, See this post for an answer. Regards, David Willingham - Deep Learning Product Manager - MathWorks

7 månader ago | 0

Answered
What are the common adopted training methods in deep convolutional neural network for image classification?
Hi, You can look to try any of the following pretrained models for Image Classification: Here is an example that works using...

7 månader ago | 1

| accepted

Answered
Neural Network Stock price prediction - Extremely accurate results
Hi, If the intent is to forecast price to make trading decisions, I suggest looking at this example on GitHub: Reinforcement L...

7 månader ago | 0

Answered
how to convert python code to MATLAB?
Hi Min-seok Kim, For Deep Learning there are a few ways to import and export networks into MATLAB. MATLAB has a direct Tens...

8 månader ago | 0

Answered
Why should I use Matlab Deep Learning Toolbox over Tensorflow?
Hi Haiming Wang, I’d like to provide an update to answer. MATLAB is used by Engineers and Scientists to develop, automate and i...

8 månader ago | 2

Answered
How can I install Deep Learning Toolbox without reinstall the complete Matlab software?
Hi Luis, This is odd, and the toolbox should install properly if you have version lined up with the version of MATLAB you have...

8 månader ago | 0

Submitted


Reinforcement Learning for Financial Trading
MATLAB example on how to use Reinforcement Learning for developing a financial trading model

8 månader ago | 47 downloads |

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Answered
How can I use TensorFlow library from matlab environment?
Hi, MATLAB supports Framework Interoperability with ONNX and Tensorflow-Keras. More information on this can be found here. ...

9 månader ago | 0

Answered
Matlab does not currently support Generative Adversarial Neural Networks
Since R2019b, MATLAB has supported the implementation of GAN's. More information on this can be found here. Regards, David W...

9 månader ago | 0

Answered
Why should I choose matlab deep learning toolbox over other opensource frameworks like caffe, onnx, pytorch, torch etc?
Hi tharun, Thanks for this question, I’d like to provide an update to Sebastian’s answer as a lot has changed in MATLAB since 2...

9 månader ago | 25

| accepted

Submitted


Object Detection Using YOLO v2 Deep-Learning
MATLAB example of deep learning based object detection using Yolo v2.

ungefär ett år ago | 37 downloads |

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Submitted


Long Term Energy Forecasting with Econometrics in MATLAB
Dynamic energy demand forecasting using Econometrics (ARIMA/VAR/GARCH)

mer än 4 år ago | 15 downloads |

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Submitted


Machine Learning for Mining & Metals
2 examples for Machine Learning for Mining, Regression & Classification

mer än 4 år ago | 9 downloads |

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Submitted


Making Data Analytics for the Mining Industry Simple with MATLAB
Highlights automatically importing assay text data, perform basic statistics & visualization

mer än 4 år ago | 6 downloads |

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Submitted


Mining Economics with MATLAB
Simulates a distribution of Net Present Values of a mine via a forecasting model for Iron Ore Prices

mer än 4 år ago | 5 downloads |

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Submitted


Parametric Value At Risk
Computes the Parametric Value at Risk for a given Portfolio

mer än 4 år ago | 3 downloads |

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Submitted


Historical Value At Risk
Calculates Historical Value at Risk for a given portfolio of returns

mer än 4 år ago | 16 downloads |

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Submitted


READMAIL
Imports the text from emails into MATLAB & saves attachments from Microsoft Outlook.

mer än 4 år ago | 10 downloads |

Submitted


Electricity Load Forecasting for the Australian Market Case Study
This is a case study of forecasting short-term electricity loads for the Australian market.

mer än 4 år ago | 30 downloads |

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