[Pytorch Neural Network Practical Case] 24 Identifying a variety of birds based on transfer learning (CUB-200 dataset) - Code World

[Pytorch Neural Network Practical Case] 24 Identifying a variety of birds based on transfer learning (CUB-200 dataset)

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Origin blog.csdn.net/qq_39237205/article/details/124063080

[Pytorch Neural Network Practical Case] 24 Identifying a variety of birds based on transfer learning (CUB-200 dataset)

[Pytorch Neural Network Practical Case] 25 (with data enhancement) Recognizing multiple birds based on transfer learning (CUB-200 dataset)

[Pytorch Neural Network Practical Case] 24 Identifying a variety of birds based on transfer learning (CUB-200 dataset)

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[Pytorch neural network combat case] 46 paper classification based on Cora dataset to implement graph attention neural network GAT

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[Pytorch Neural Network Practical Case] 29 [Code Summary] GitSet Model for Gait and Identity Recognition (CASIA-B Dataset)

[Pytorch neural network combat case] 41 Paper classification based on the Cora dataset to implement the Multi_Sample Dropout graph convolution network model

[Pytorch Neural Network Practical Case] 24 전이학습 기반의 다양한 새 식별(CUB-200 데이터세트)

[Pytorch Neural Network Practical Case] 24 Identifizierung einer Vielzahl von Vögeln auf der Grundlage von Transfer Learning (CUB-200-Datensatz)

[Pytorch neural network practical case] 38 neural network realizes the function of estimating mutual information

A fine-grained identification and analysis system for 200 species of birds developed and built based on the lightweight neural network GhostNet

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