DL_Exten(Deep Learning Extensions)

Version 1.1 (34.5 MB) by Fred Liu
Various deep learning extensions in MATLAB.
24 Downloads
Updated 7 Dec 2023

DL_Exten

Deep Learning Exten Bulit on 2023/09 by Fred Liu Update to 2024a

版本:MATALB: minimum vervion 2024a.

此專案中會介紹在之前專案中沒有介紹到的深度學習內容,並且分類為五個區域。

目前部分更新到2024a,主要是e系列為主(新增Radar,Wireless與Verify),另外也新增a7與a8的內容 以及部份的內容也有添加上23b與24a的資訊。

由於在2024a中版本有較大更新,會將DL的架構都改為dlnetowrk的格式,因此整個架構也會有大改變, 也陸續將以往的一些功能都進行更新。

詳細內容介紹可以參考以下網址: https://medium.com/@FredLiu_/%E6%B7%B1%E5%BA%A6%E5%AD%B8%E7%BF%92%E6%93%B4%E5%85%85-dl-exten-70f7f559a443

In this project, we will introduce deep learning topics that were not covered in previous projects and categorize them into five areas. Currently.

Currently, some parts have been updated to 2024a, mainly focusing on the E series (with additions of Radar and Wireless). Additionally, content for A7 and A8 has been added.

Due to significant updates in version 2024a, the DL architecture will be changed to the dlnetwork format, leading to major structural changes. Furthermore, some previous functionalities will be updated gradually.

<markdown-accessiblity-table><table class="readme_table"> <thead> <tr> <th class="readme_th"><strong>客製化深度學習架構</strong></th> </tr> </thead> <tbody> <tr> <td class="readme_td">a1.DL_Model_Function</td> </tr> <tr> <td class="readme_td">a2.CustomerLayer</td> </tr> <tr> <td class="readme_td">a3.CustomerLoop</td> </tr> <tr> <td class="readme_td">a4.ChangeLoss</td> </tr> <tr> <td class="readme_td">a5.AutoLabeling</td> </tr> <tr> <td class="readme_td">a6.DataAugment</td> </tr> <tr> <td class="readme_td">a7.Accelerated_DL_Function</td> </tr> <tr> <td class="readme_td">a8.Retrain</td> </tr> </tbody> </table></markdown-accessiblity-table>
<markdown-accessiblity-table><table class="readme_table"> <thead> <tr> <th class="readme_th"><strong>深度學習APP使用方式</strong></th> </tr> </thead> <tbody> <tr> <td class="readme_td">b1.DeepNetworkDesigner</td> </tr> <tr> <td class="readme_td">b2.Experimnet_Manager</td> </tr> <tr> <td class="readme_td">b3.DeepNetworkQuantizer</td> </tr> </tbody> </table></markdown-accessiblity-table>
<markdown-accessiblity-table><table class="readme_table"> <thead> <tr> <th class="readme_th"><strong>計算深度學習</strong></th> </tr> </thead> <tbody> <tr> <td class="readme_td">c1.Neural_ODE</td> </tr> <tr> <td class="readme_td">c2.Partia_Differential_Equation</td> </tr> </tbody> </table></markdown-accessiblity-table>
<markdown-accessiblity-table><table class="readme_table"> <thead> <tr> <th class="readme_th"><strong>各種深度學習模型</strong></th> </tr> </thead> <tbody> <tr> <td class="readme_td">d1.Multilabel_Classification</td> </tr> <tr> <td class="readme_td">d2.LSTM</td> </tr> <tr> <td class="readme_td">d3.1D_CNN</td> </tr> <tr> <td class="readme_td">d4.AnomalyDetect</td> </tr> <tr> <td class="readme_td">d5.Autoencoder</td> </tr> <tr> <td class="readme_td">d6.GAN</td> </tr> <tr> <td class="readme_td">d7.ImageCaptioning</td> </tr> <tr> <td class="readme_td">d8.Posenet</td> </tr> <tr> <td class="readme_td">d9.Siamese Network</td> </tr> <tr> <td class="readme_td">d10.StyleTransfer</td> </tr> <tr> <td class="readme_td">d11.GCN</td> </tr> <tr> <td class="readme_td">d12.VideoRecognition</td> </tr> <tr> <td class="readme_td">d13.Attention</td> </tr> <tr> <td class="readme_td">d14.FederatedLearning</td> </tr> <tr> <td class="readme_td">d15.CyclicalLearning</td> </tr> <tr> <td class="readme_td">d16.Adversarial</td> </tr> <tr> <td class="readme_td">d17.Deep_ISP</td> </tr> <tr> <td class="readme_td">d18.OtherModel</td> </tr> <tr> <td class="readme_td">d19.VIT(Vision Transformer)</td> </tr> </tbody> </table></markdown-accessiblity-table>
<markdown-accessiblity-table><table class="readme_table"> <thead> <tr> <th class="readme_th"><strong>其他領域的深度學習架構</strong></th> </tr> </thead> <tbody> <tr> <td class="readme_td">e1.Verification</td> </tr> <tr> <td class="readme_td">e2.Signal</td> </tr> <tr> <td class="readme_td">e3.Audio</td> </tr> <tr> <td class="readme_td">e4.Text</td> </tr> <tr> <td class="readme_td">e5.Lidar</td> </tr> <tr> <td class="readme_td">e6.Finance</td> </tr> <tr> <td class="readme_td">e7.Radar</td> </tr> <tr> <td class="readme_td">e6.Finance</td> </tr> <tr> <td class="readme_td">e7.Radar</td> </tr> <tr> <td class="readme_td">e8.Wireless</td> </tr> <tr> <td class="readme_td">e9.Verify</td> </tr> <tr> <td class="readme_td">e10.PHM</td> </tr> </tbody> </table></markdown-accessiblity-table>
<markdown-accessiblity-table><table class="readme_table"> <thead> <tr> <th class="readme_th"><strong>深度學習模型整合</strong></th> </tr> </thead> <tbody> <tr> <td class="readme_td">h1.Integration</td> </tr> </tbody> </table></markdown-accessiblity-table>

Cite As

Fred Liu (2024). DL_Exten(Deep Learning Extensions) (https://github.com/MoonUsagi/DL_Exten/releases/tag/v1.1), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2023b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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a5.AutoLabeling/Auto_LaneBoundaries

a5.AutoLabeling/Auto_SemanticSegmentation

a5.AutoLabeling/Auto_YOLOX

a5.AutoLabeling/Auto_YOLOv4

d6.GAN

a1.DL_Model_Function

a2.CustomerLayer

a3.CustomerLoop

a4.ChangeLoss

a5.AutoLabeling

a5.AutoLabeling/Auto_LaneBoundaries

a5.AutoLabeling/Auto_SemanticSegmentation

a6.DataAugment

a7.Accelerated_DL_Function

b1.DeepNetworkDesigner

b2.Experimnet_Manager

c1.Neural_ODE

c2.Partia_Differential_Equation

d1.Multilabel_Classification

d10.StyleTransfer

d11.GCN

d12.VideoRecognition

d13.Attention

d14.FederatedLearning

d15.CyclicalLearning

d16.Adversarial

d17.Deep_ISP

d18.OtherModel

d19.VIT(VisionTransformer)

d2.LSTM

d3.1D_CNN

d4.AnomalyDetect

d5.Autoencoder

d6.GAN

d7.ImageCaptioning

d8.Posenet

d9.Siamese Network

e1.Verification

e2.Signal

e3.Audio

e5.Lidar

e6.Finance

Version Published Release Notes
1.1

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.