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deep learning designer tool (MathWorks Inc)

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MathWorks Inc deep learning designer tool
Deep Learning Designer Tool, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deep-learning+tool/pm40457030-181-9-5
Average 90 stars, based on 1 article reviews

deep learning designer tool - by Bioz Stars, 2026-11

90/100 stars

Images

other:

Article Title: Power quality validation in micro off-grid daily load using modular differential, LSTM deep, and probability statistics models processing NWP-data
Article Snippet: The mean and standard deviation of the data features were computed for subtraction-divided input samples (Matlab – Deep Learning tool-box for sequence to sequence regression [DLT]).

Article Title: Power quality validation in micro off-grid daily load using modular differential, LSTM deep, and probability statistics models processing NWP-data
Article Snippet: Experimental adjustments or changes in its training/testing parameters or network architecture (Matlab – Deep Learning tool-box for sequence to sequence regression [DLT]) did not lead to any improvements in the prediction of U.

Article Title: Power quality validation in micro off-grid daily load using modular differential, LSTM deep, and probability statistics models processing NWP-data
Article Snippet: Short-Term Memory (LSTM) network (Matlab – Deep Learning tool-box for sequence to sequence regression [DLT]).

Article Title: Water temperature modeling through regression and artificial neural network using short-term data for a Philippine River
Article Snippet: The calculation for the ANN models was performed using the Machine Learning and Deep Learning tool in the MATLAB software.

Article Title: Revolutionization of augmented reality in tourism via deep learning
Article Snippet: The approach is analyzed using a deep learning tool in MATLAB.

Labeling:

Article Title: Intelligent system based on multiple networks for accurate ovarian tumor semantic segmentation
Article Snippet: All experiments in the current study were performed using Matlab, a powerful programming and numeric computing platform, usually used by scientists and engineers to develop algorithms, analyze data, create models, and provide the ability to easily transpose research ideas into real world. .. In the current paper, the original MMOTU images and the associated labeled segmentations had to be processed to work with the Matlab Deep Learning Tool. .. Matlab provides an image labeling tool as well, enabling users to segment and color pixels by hand, however, to take full advantage of the segmentations performed by specialists, and thus obtain better results, we created an image preprocessing and adaptation block that creates labeled data for training semantic segmentation networks using Matlab.

Software:

Article Title: Transfer learning by fine-tuning pre-trained convolutional neural network architectures for switchgear fault detection using thermal imaging
Article Snippet: .. This work was conducted using Matlab®/Simulink R2023a software, leveraging the capabilities of the Deep Learning Toolbox. ..