David Willingham

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Answered
find a invoice slip on a package
If traditional image processing doesn't work, you could possible try to build an object detector based on Deep Learning. The ke...

1 day ago | 0

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How to view predicted output from neural network toolbox?
The predict function.

1 day ago | 0

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Connecting Matlab and Python
Hi, We have some great resources on our GitHub page for calling Python from MATLAB https://github.com/mathworks/matlab-with-py...

3 days ago | 0

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How can I upload my own data to the Cocktail Party Source Separation Using Deep Learning Networks instance?
Hi, The first 4 lines can be ignored. Simply input your own file into the audioread command. [mSpeech,Fs] = audioread("myaudio...

3 days ago | 0

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Answered
Adaptive Neural Network Simulink
HI Hassan, We do have some informationon incremental learning from MATLAB here: Incremental Learning Overview. But I understand...

3 days ago | 0

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ANN (Artificial Neural Network) code
Deep Learning networks, like LSTM's (Long Short Term Memory), could also be used to solve this problem. This example Sequence Cl...

3 days ago | 0

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How to add hand-crafted features as an input to a CNN model in MATLAB
Hi, This example shows how to train a model using image and feature data, Train Network on Image and Feature Data. Is this wh...

5 days ago | 2

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Answered
Teacher forcing for a LSTM network
Please see the attached example, trainLSTM_seq2seq. Is this what you were looking for? I.e. an example for a standard LSTM model...

5 days ago | 0

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Teacher forcing for a LSTM network
Hi Philip, This example shows how teacher forcing can be implemented with LSTM's in MATLAB.Sequence-to-Sequence Translation Usi...

5 days ago | 0

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How to customize Neural Networks' activation function
Hi, @Maria Duarte Rosa gave a good answer on how to create a custom activation layer by visiting this page: Define Custom Deep ...

10 days ago | 0

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What are target variables, predictor variables and prior probabilities?
Hi, Please see this page, it describes in detail target variables (predicted reponses), predictor variables and prior probabili...

10 days ago | 0

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How can I implement "FaceNet" for my project?
Have you seen this example on GitHub? https://github.com/matlab-deep-learning/COVID19-Face-Mask-Detection-using-deep-learning

12 days ago | 0

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why Nvidia A100 GPUs slower than RTX 3090 GPUs?
See this answer for an explanation: https://www.mathworks.com/matlabcentral/answers/1711380-rtx-3090-vs-a100-in-deep-learning?s...

16 days ago | 0

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Answered
deep network designer, how do I test a trained network against a new dataset? I am able to see the predictions for all the images?
Hi Andreea, Firstly, glad to hear your starting your journey of deep learning in MATLAB! Your code will likely look like this:...

16 days ago | 0

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RTX 3090 vs A100 in deep learning.
Hi, What version of MATLAB did you test ResNet out on? I'd recommend running benchmarks on the latest version of MATLAB. Was ...

25 days ago | 0

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Are there any convolutional networks in the DL Toolbox whose output layers are implemented as fullyConnectedLayers?
Hi Matt, In this doc page, it shows an example of a network that has both convolutional layers and full connected layers: http...

26 days ago | 0

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Cannot find the object of 'ONNXParameters' Class after using "Application Compiler".
When using the compiler, sometimes the dependency checker can't find all the object classes. Try addind the function pragma to ...

1 month ago | 0

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Answered
install GOOGLeNet on a machine with no internet
Have you tried downloading it from the File Exchange on a machine with the internet, then copying it a USB and installing on the...

1 month ago | 0

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How can I perform image classification using Simulink in Matlab
Use the Image Classifier block from the Deep Learning toolbox.

1 month ago | 0

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Loading timeseries data into the deep network designer
Hi, Have you seen this example? Train Network for Time Series Forecasting Using Deep Network Designer

1 month ago | 0

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Solving a non linear ODE with unknown parameter
Hi, Have you seen this example for solving ODE's using Deep Learning in MATLAB? Dynamical System Modeling Using Neural ODE

1 month ago | 0

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LSTM time series forecasting, predicting future values
Hi Stashu, Take a look at this updated example: Time Series Forecasting Using Deep Learning In it there is a section on "cl...

2 months ago | 0

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Multi step ahead forecasting with LSTM
Hi, Please see this updated example in R2022a that shows multi-step ahead (closed loop) predictions: Time Series Forecasting ...

2 months ago | 1

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How to export the deep neural network model that has been well trained?
Currently there isn’t an option to export to Tensorflow .h5 format. The only export path is via ONNX: <https://www.mathworks...

2 months ago | 0

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Answered
L-BFGS algorithm for Physics-informed neural networks
Hi, Have you seen this example? <https://www.mathworks.com/help/deeplearning/ug/solve-partial-differential-equations-with-...

2 months ago | 1

Submitted

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

2 months ago | 35 downloads |

Answered
Creating a custom Docker-based container of Matlab and additional toolboxes
This may not meet your exact requirements of building a container with just those products, but the MATLAB Deep Learning Contain...

3 months ago | 1

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How can I train multi-input deep network without DataStore
Please see this example, released in R2022a that shows how train a multi-input network. It still uses datastores, but shows how ...

3 months ago | 0

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How can I design a neural network to detect and classify faults in a system?
Before even attempting to design and then train a neural network model, I recommend starting with the data. Does your simulatio...

3 months ago | 0

Answered
A good tutorial of Solve Partial Differential Equations Using Deep Learning (physics informed neural networks)
What version of MATLAB are you using? There is a function called arraydatastore. Did you try opening the full script in MATLAB ...

3 months ago | 0