DL_Exten(Deep Learning Extensions)

Versione 1.1 (34,5 MB) da Fred Liu
Various deep learning extensions in MATLAB.
0.0
(0)
18 download
Aggiornato 7 dic 2023
Visualizza la licenza su GitHub

DL_Exten

Deep Learning Exten Bulit on 2023/09 by Fred Liu

版本:MATALB: minimum vervion 2023b.

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。
此區域目前完成約97%剩餘以下項目尚未完成：e4text，與2023b更新部分。

In this project, we will introduce deep learning topics that were not covered in previous projects and categorize them into five areas. Currently, this area is about 97% complete, with the following items remaining unfinished: "e4text" and the 2023b updates.

客製化深度學習架構
a1.DL_Model_Function
a2.CustomerLayer
a3.CustomerLoop
a4.ChangeLoss
a5.AutoLabeling
a6.DataAugment
深度學習APP使用方式
b1.DeepNetworkDesigner
b2.Experimnet_Manager
計算深度學習
c1.Neural_ODE
c2.Partia_Differential_Equation
各種深度學習模型
d1.Multilabel_Classification
d2.LSTM
d3.1D_CNN
d4.AnomalyDetect
d5.Autoencoder
d6.GAN
d7.ImageCaptioning
d8.Posenet
d9.Siamese Network
d10.StyleTransfer
d11.GCN
d12.VideoRecognition
d13.Attention
d14.FederatedLearning
d15.CyclicalLearning
d16.Adversarial
d17.Deep_ISP
d18.OtherModel
d19.VIT(Vision Transformer)
其他領域的深度學習架構
e1.Verification
e2.Signal
e3.Audio
e4.Text
e5.Lidar
e6.Finance

Cita come

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

Compatibilità della release di MATLAB
Creato con R2023b
Compatibile con qualsiasi release
Compatibilità della piattaforma
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

Versione Pubblicato Note della release
1.1

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.