Questions tagged [pretrained-models]
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)
21
questions
0
votes
1answer
18 views
How to train my model using transfer learning on inception_v3 pre-trained model?
I am trying to train my model to classify 10 classes of hand gestures but I don't get why am I getting validation accuracy approx. double than training accuracy.
My dataset is from kaggle:
https://www....
1
vote
0answers
32 views
What are some most promising ways to approximate common sense and background knowledge?
I learned from this blog post Self-Supervised Learning: The Dark Matter of Intelligence that
We believe that self-supervised learning (SSL) is one of the most promising ways to build such background ...
1
vote
0answers
17 views
How to scrape product data on supplier websites?
I'm currently trying to build a semantic scraper that can extract product information from different company websites of suppliers in the packaging industry (with as little manual customization per ...
0
votes
0answers
23 views
Where can I find a progressively trained GAN's pretrained low-resolution models?
StyleGAN is trained progressively, meaning that it starts as a small network trained to produce 4x4 images, then a layer is added which doubles the resolution to 8x8, then 16x16, etc. The final result ...
1
vote
0answers
13 views
Is there a pre-trained network trained on RGB-D (4) channels? [closed]
The most used pre-trained networks for computer vision (e.g. ResNet50) are trained on 3 channels (RGB). At the same time, many cameras used in robotics return RGB-D outputs, that is including depth ...
0
votes
1answer
57 views
How to use a conv2d layer after a flatten?
I am not familiar with Deep learning and Pytorch. And I want to know how to deal, in general with such a situation. So, I was wondering if I used a pretrained model (EfficientNet for example) if I ...
0
votes
0answers
25 views
Is it possible to improve the average precision of YOLO trained on Open Images Dataset by fine-tuning it with COCO?
I consider pre-training a YOLOv5 with Google Open Images Object Detection dataset. The dataset includes general domain categories with ~15 M box samples. After the pre-training is done, I will fine-...
0
votes
1answer
35 views
Extract Features at Multiple Image-Scales
I try to replicate the results of this paper. They state, that they used VGG16- and VGG19-models pretrained on imagenet and used the output of the last convolutional layer (without relu and max-...
2
votes
1answer
94 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 ...
0
votes
1answer
40 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:
...
1
vote
0answers
63 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. ...
1
vote
0answers
33 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 ...
0
votes
0answers
93 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
votes
1answer
49 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
vote
1answer
2k 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 ...
0
votes
0answers
29 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
vote
1answer
90 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 ...
1
vote
0answers
22 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) ...
4
votes
0answers
37 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
votes
1answer
102 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 ...
3
votes
1answer
604 views
How can I read the .weights file that stores the weights of the pre-trained YOLO in Keras? [closed]
I would like to use the pre-trained weights of YOLO (tiny version, v1) in Keras, which are given in a file with extension .weights (here is an example). How can I ...
