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David Willingham


Last seen: 3 days ago

MathWorks

22 total contributions since 2016

Deep Learning Product Manager

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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 ...

1 month 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. ...

2 months 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

2 months 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...

2 months ago | 0

| 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...

2 months 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 Kera...

2 months 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...

2 months 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...

2 months ago | 0

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. ...

3 months 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...

3 months 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...

3 months ago | 23

| 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 ...

6 months ago | 49 downloads |

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

8 months ago | 38 downloads |

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

8 months ago | 19 downloads |

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

4 years ago | 14 downloads |

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

4 years ago | 5 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

4 years ago | 14 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

4 years ago | 8 downloads |

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

4 years ago | 3 downloads |

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

4 years ago | 4 downloads |

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

4 years ago | 4 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 | 36 downloads |

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