The mnist dataset is fine-tuned using the resnet50 pre-trained network - Code World

The mnist dataset is fine-tuned using the resnet50 pre-trained network

Enterprise 2023-09-12 06:17:58 views: null

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Origin blog.csdn.net/qq_44243059/article/details/131626304

The mnist dataset is fine-tuned using the resnet50 pre-trained network

ResNet50 network

Use pytorch to build a residual network (ResNet50) classifier (based on the kaggle cat and dog dataset)

] [Pytorch loading Pre-trained model and the Fine-tuning the network structure after modified

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Convolutional neural network (ResNet-18) recognizes Fashion-MNIST dataset (Pytorch version)

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Load the pre-trained model after modifying the network structure

pytorch cv comes with a pre-trained model and then fine-tunes it

[pytorch] ResNet18, ResNet20, ResNet34, ResNet50 network structure and implementation

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Few-sample and high-accuracy cat species identification based on CNN+data enhancement+residual network Resnet50—deep learning algorithm application (including all engineering source codes)+dataset+model (5)

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TensorFlow2 Tutorial 18: Using pre-trained model CNN

A New Approach to Image Super-Resolution Using Prior Knowledge of Pre-trained Models——StableSR

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Dozens of lines of code to easily implement CIFAR10 dataset combat—ResNet50 easy implementation/pytorch

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Use Transformers' Trainer to fine-tune pre-trained large models in PyTorch

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