27,179 questions
Advice
0
votes
0
replies
29
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
Advice
0
votes
2
replies
70
views
Do you use raw pytorch or some wrapper or such?
I recently started a course about machine-learning as a part of my master that is apparently essentially a course in PyTorch, since starting the course i have learned that PyTorch is actually used a ...
- 15
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 ...
-1
votes
1
answer
42
views
Why does my LSTM time series prediction show periodic sharp downward spikes on test data?
I am trying to predict google stock price using LSTM model from PyTorch.
However after training my model and plotting the predicted results vs the real value, I see periodic sharp downward spikes.
...
Advice
1
vote
6
replies
145
views
Ai Neural Network | C++ | Project Guidance --- Matrix Part
I’m an undergraduate CS student working on a final project due in about a month, and I’m trying to design and implement a C++-based AI Neural Network Simulator integrated into a small game environment....
Best practices
0
votes
0
replies
38
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 ...
- 1
Best practices
0
votes
3
replies
48
views
How to detect mislabeled images in a directory based image classification dataset?
What is the best way to find mislabeled images in a dataset where labels are based on folders?
Each class is already separated into its own directory, but some images inside are clearly in the wrong ...
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, ...
- 191
Advice
0
votes
8
replies
87
views
Variational Autoencoders Visualisation
I am unable to visualise how variational autoencoders work graphically. I have understood the equations but am unable to figure out how this would all translate visually, like what is the purpose of P(...
Best practices
0
votes
7
replies
106
views
Which is the best way to detect lines in historically book pages
I am working on an OCR project and need to create a dataset consisting of approximately 1247 pages from 6 books. I need to crop the images line by line and transcribe the text for training a model. ...
Advice
2
votes
1
replies
145
views
Need Guide for AI/ML
I am looking to grow my career in the AI/ML field, but I am currently feeling a bit confused about the right direction. At the moment, I am learning Python, NumPy, and Pandas.
Could someone please ...
