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Questions tagged [pretrained-models]

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For questions related to pre-trained model. A pre-trained model is a model that was trained on a large benchmark dataset to solve a problem similar to the one that we want to solve. Accordingly, due to the computational cost of training such models, it is common practice to import and use models from published literature (e.g. VGG, Inception, MobileNet)

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1answer
80 views

Which hyperparameters in neural network are accesible to users adjustment

I am new to Neural Networks and my questions are still very basic. I know that most of neural networks allow and even ask user to chose hyper-parameters like: amount of hidden layers amount of ...
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1answer
36 views

BERT: After pretraining 880000 step, why fine-tune not work? [closed]

I am using pretraining code from https://github.com/NVIDIA/DeepLearningExamples Pretrain parameters: ...
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1answer
34 views

Pre-trained model for ratings of a product? [closed]

Is there a free pre-trained model for ratings (1~5 starts) of the product by categories such as electronics?
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0answers
46 views

Is it good practice to save NLP Transformer based pre-trained models into file system in production environment

I have developed a multi label classifier using BERT. I'm leveraging Hugging Face Pytorch implementation for transformers. I have saved the pretrained model into the file directory in dev environment. ...
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0answers
29 views

How to measure/estimate the energy consumption of CNN models during testing?

Does someone know a method to estimate / measure the total energy consumption during the test phase of the well-known CNN models? So with a tool or a power meter... MIT has already a tool to estimate ...
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0answers
48 views

Can StyleGAN be refined without a full training?

Can I refine StyleGAN or StyleGAN2 without retraining it for many days, such that its pretrained model is trained to generate only faces similar to a (rather small) set of reference images? I would ...
0
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1answer
40 views

How to add a pretrained model to my layers to get embeddings?

I want to use a pretrained model found in [BERT Embeddings] https://github.com/UKPLab/sentence-transformers and I want to add a layer to get the sentence embeddings from the model and pass on to the ...
1
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1answer
178 views

How to use pre-trained BERT to extract the vectors from sentences?

I'm trying to extract the vectors from the sentences. Spent soo much time searching for the pre-trained BERT models but found nothing. Is it possible to get the vectors using pre-trained BERT from ...
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0answers
26 views

How to Extract required fields from a text(pdf extracted)file?

I have extracted text from pdf files to each text file. Sample of a text file: ...
1
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1answer
48 views

How does a software license apply to pretrained models?

Google provides a lot of pretrained tensorflow models, but I cannot find a license. I am interested in the tfjs-models. The code is licensed Apache-2.0, but the models are downloaded by the code, so ...
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0answers
186 views

How can I deploy a Keras machine translation model on Flask or django [closed]

I want to deploy a machine translation system implemented in Keras on Flask. In which format do I have to save my model for flask? Is there a tutorial that shows how to deploy a Keras model on Flask?...
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0answers
16 views

Can mobilenet in some cases perform better than inception_v3 and inception_resnet_v2?

I have implemented a multi-label image classification model where I can choose which model to use, I was surprised to find out that in my case mobilenet_v1_224 performed much better (95% Accuracy) ...
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0answers
33 views

How can I improve the performance of a model trained to detect vehicle poses?

I'm looking for some suggestions on how to improve our vehicle image recognition. We have an online marketplace where customers submit photos of their vehicles. The photos need to meet certain ...
3
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1answer
63 views

Are there any better visual models for transfer rather than ImageNet?

Similar to the recent pushes in Pretrained Language Models (BERT, GPT2, XLNet) I was wondering if such a thrust exists in Computer Vision? From my understanding, it seems the community has converged ...