Best practice of ResNet high-accuracy pre-trained model in MMDetection - Code World

Best practice of ResNet high-accuracy pre-trained model in MMDetection

Enterprise 2022-04-16 14:37:10 views: null

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Origin juejin.im/post/7086749765727158309

Best practice of ResNet high-accuracy pre-trained model in MMDetection

The problem that mmdetection and mmsegmentation cannot load the pre-trained model

Pre-trained language model (a)

Pre-trained language model (two) NLP in

PaddlePaddle pre-trained model collection

Save and read the pre-trained bert model

LLM: finetune pre-trained language model

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)

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 (2)

DAMO Academy SPACE dialogue large model: pre-trained language model, pre-trained dialogue model, knowledge injection

pytorch loads some parameters of the pre-trained model

The storage location of the pre-trained model weights downloaded by tensorflow

Loading mechanism pytorch version of pre-trained model

[webAI] Tensorflow.js loads the pre-trained model

[webAI] Tensorflow.js loads the pre-trained model

Load the pre-trained model after modifying the network structure

Application of pre-trained language model in Netease Yanxuan

Cross talk on basic knowledge of pre-trained language model

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

[NLP] Get Embedding from the pre-trained model

The storage location of the pre-trained model downloaded by transformer

Download huggingface pre-trained model to local and call it

Some details about the input of the pre-trained model in the Transformers library

Pytorch's hook technology - get the specific intermediate layer output of the pre-trained/trained model

Load pytorch pre-trained models vgg, resnet, alexnet, etc. offline or online

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

[GPT of LLM series] GPT (Generative Pre-trained Transformer) generative pre-training model

hugging face model hub download pre-trained model download acceleration

Model comparison and implementation result analysis in the pre-trained language model (graphic explanation)

Keras deep learning uses Xception pre-trained neural network to realize cat and dog classification, and the accuracy of the test set is as high as 0.99

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