5,956 questions with no answers
Advice
0
votes
0
replies
30
views
Does random shifted artificial border harms network training?
Hello everyone I would like to request some information on best practices for training a neural network for image segmentation.
I am conflicted between two approaches lets assume i have patches of ...
- 27
Advice
0
votes
0
replies
36
views
Regarding's MONAI WarmupCosineSchedule with AdamW, should scheduler.step() be called per batch, and does optimizer lr define the peak lr?
I am training a PyTorch segmentation model and using:
torch.optim.AdamW
monai.optimizers.WarmupCosineSchedule
My optimizer:
optimizer = torch.optim.AdamW(
model.parameters(),
lr=1e-4,
...
- 163
Tooling
0
votes
0
replies
50
views
What are the best methods or libraries to extract Arabic text from images or PDFs without using Surya OCR?
I am working on a project where I need to extract Arabic text from images and PDF documents. Currently, I am using Surya OCR, but I would like to explore other alternatives that might provide better ...
- 1
3
votes
0
answers
401
views
Training Tesseract to decode the Epstein Files
The Department of Justice has recently released Volumes 09 and 10 of the Epstein files. Among them is a PDF: https://www.justice.gov/epstein/files/DataSet%209/EFTA01012650.pdf
This PDF contains ...
- 761k
Tooling
2
votes
0
replies
52
views
What are a good books to read in Bayesian Learning
Seems like Bayesian learning is the go to method now for reducing over fitting in ML models, I've read Manning's NLP in action, Deep Learning with python, O'Reilly Deep Learning foundations, Hands on ...
Best practices
0
votes
0
replies
39
views
FID score computation while training WGAN-GP
I am training WGAN-GP on Eurosat dataset, splitted into train/val/test sets in counts 18900/4050/4050. Since FID scores are widely used in GANs in image generation, I based my hyperparameter search on ...
Advice
1
vote
0
replies
86
views
Book Recommendation in PyTorch
I am looking to find a book on PyTorch that is suitable for beginners, Ive used sklearn in the past for ML its a simple workflow for me prepare the X and Y data, fit/train a model, and make ...
- 915
Best practices
0
votes
0
replies
42
views
can we clear noise on sensor data for anomaly detection?
I am recently working on a project where I've large amount of sensor data, and my main goal is to detect the failure of machine/sensor at a particular time, also explain why machine has an anomaly?
ex....
-1
votes
0
answers
82
views
Is the following problem an issue with Google Colab or an error in the code?
I am trying to follow "Deep Learning in Python" by Francois Chollet.
I have copied and pasted the code at the end of this post from the github page into colab. I am getting a very different, ...
- 150k
Best practices
0
votes
0
replies
77
views
Handling of correlation via PCA for neural networks
I am working to model financial data via neural networks and I am unsure of what the best practices are for PCA de-correlation. I will focus on two momentum indicators for this example, RSI and CCI. ...
- 1
Advice
0
votes
0
replies
95
views
Learning Resource for TensorRT and PyCUDA (or other CUDA Python inferface library)
I'm trying to deploy a PyTorch model to an edge device (Jetson Orin Nano). Deploying the PyTorch model directly does not satisfy the requirements posed by the clients, so I'm looking into optimize the ...
CommunityBot
- 1
Advice
2
votes
0
replies
143
views
Is clothing-invariant person recognition possible using still images only?
I am working on a person recognition system for learning purposes.
My goal is:
Maintain a small gallery of known people (multiple images per person)
Given a new query image, return the most similar ...
- 340
1
vote
0
answers
72
views
Why does BatchNorm1d fail with batch size 1 in training mode?
I am training a small PyTorch model and want to use nn.BatchNorm1d.
When the batch size is 1 and the model is in training mode, I get the error below;
ValueError: Expected more than 1 value per ...
- 37
0
votes
0
answers
45
views
Trained and loaded CycleGAN model is giving distorted output images
I trained a CycleGAN model on Google Colab using this repository - https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
The model should enhance dark images. I tested the model on my test dataset ...
- 11
0
votes
0
answers
59
views
Keras to_categorical results in different memory allocation error every re-run
I'm working on a semantic segmentation model through U-net for classifying 11 categories. After splitting my image and label data into training and testing arrays, I turn the arrays into Unsigned ...
