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David Willingham


Last seen: 1 day ago

MathWorks

37 total contributions since 2016

Deep Learning Product Manager

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Answered
How to use ANN model as fitness function in genetic algorithm
Hi Rihan, Can I ask what in the model are you trying to optimize? Typically Optimization is used to determine the optimal para...

5 days ago | 0

Answered
How to split a large image into many small images?
Hi Syed, I'd encourge you to use blockedImage along with blockedImagedatastore, it will help you perform the block operations f...

6 days ago | 1

Answered
initialization of neural network in simulink
Hi, Are you looking to train a NN model directly from Simulink? Or run a pretrained model in Simulink? A typical workflow we ...

7 days ago | 1

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How can I install a MATLAB Toolbox from the command line without a GUI?
Hi Pablo, There are 2 ways which you could get VGG-16 from the command line: Approach1: This approach will get you the network...

16 days ago | 1

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Answered
Deep learning textbook or online course
Hi Omar, I'd recommend starting with our Deep Learning Onramp. David

20 days ago | 0

Answered
Trained Series Network apply in SIMULINK
Hi Chuan-Yu, As of R2021a there is a stateful-classify block in Simulink. The Stateful Classify block predicts class labels for...

28 days ago | 0

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Answered
FLOPs of DAG neural network
Hi Dianxin, FLOPs is a performance measure that's not typically used for Deep Learning. Performance can be measured in many way...

28 days ago | 0

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Answered
Human Detection in MATLAB using Deep Learning (Neural networks)
Hi Mohammad, have you thought about using Object Detectors based on deep learning? This example shows how to use a pretrained o...

28 days ago | 0

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...

1 month ago | 1

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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...

1 month ago | 0

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

2 months 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...

2 months ago | 1

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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...

2 months ago | 0

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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

3 months ago | 3

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 ...

3 months ago | 64 downloads |

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

3 months ago | 52 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...

7 months ago | 2

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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 ...

8 months ago | 1

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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. ...

9 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

9 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...

9 months ago | 1

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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...

9 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 Tens...

9 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...

9 months ago | 2

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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...

9 months ago | 0

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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. ...

10 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...

10 months ago | 0

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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...

10 months ago | 27

| accepted

Submitted


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

1 year ago | 28 downloads |

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Submitted


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

5 years ago | 30 downloads |

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