DL_Exten(Deep Learning Extensions)
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 .
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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 |