David Willingham
Last seen: 3 days ago
MathWorks
23 total contributions since 2016Deep Learning Product Manager
David Willingham's Badges
Contribute at least one answer each month for 3 consecutive months
Awarded to David Willingham on 02 Nov 2020
3 of your answers have been accepted
Awarded to David Willingham on 08 Oct 2020
Answer 3 questions that were unanswered for more than 30 days
Awarded to David Willingham on 30 Sep 2020
Provide your first answer ever to someone else's question
Awarded to David Willingham on 19 Aug 2020
Your submissions were downloaded 250 or more times in a month
Awarded to David Willingham on 01 May 2020
Have 3 submissions connected to GitHub
Awarded to David Willingham on 20 Mar 2020
Your submissions received 25 five star ratings
Awarded to David Willingham on 22 Jan 2020
Publish your first comment or rating
Awarded to David Willingham on 09 Oct 2019
Publish your first submission
Awarded to David Willingham on 09 Oct 2019
Research program support MathWorks
Hi John Navarro, MathWorks is active in supporting the Research community. Current and past partnerships have included collobor...
3 months ago | 2
| accepted
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 ...
4 months ago | 1
| accepted
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. ...
5 months ago | 0
| accepted
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
5 months ago | 0
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...
5 months ago | 1
| accepted
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...
5 months ago | 0
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 Kera...
5 months ago | 0
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...
5 months ago | 2
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...
5 months ago | 0
Submitted
Reinforcement Learning for Financial Trading
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
5 months ago | 46 downloads |
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. ...
6 months ago | 0
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...
6 months ago | 0
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...
7 months ago | 25
| accepted
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 ...
10 months ago | 53 downloads |
Submitted
Object Detection Using YOLO v2 Deep-Learning
MATLAB example of deep learning based object detection using Yolo v2.
12 months ago | 17 downloads |
Submitted
Long Term Energy Forecasting with Econometrics in MATLAB
Dynamic energy demand forecasting using Econometrics (ARIMA/VAR/GARCH)
4 years ago | 17 downloads |
Submitted
Machine Learning for Mining & Metals
2 examples for Machine Learning for Mining, Regression & Classification
4 years ago | 4 downloads |
Submitted
Making Data Analytics for the Mining Industry Simple with MATLAB
Highlights automatically importing assay text data, perform basic statistics & visualization
4 years ago | 6 downloads |
Submitted
Mining Economics with MATLAB
Simulates a distribution of Net Present Values of a mine via a forecasting model for Iron Ore Prices
4 years ago | 9 downloads |
Submitted
Parametric Value At Risk
Computes the Parametric Value at Risk for a given Portfolio
4 years ago | 1 download |
Submitted
Historical Value At Risk
Calculates Historical Value at Risk for a given portfolio of returns
4 years ago | 5 downloads |
Submitted
READMAIL
Imports the text from emails into MATLAB & saves attachments from Microsoft Outlook.
4 years ago | 8 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.
4 years ago | 28 downloads |
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