All Questions
Tagged with pythonmachine-learning
92 questions
0votes
0answers
24views
Is tensorflow broken?
I'm currently learning how to use JAX (I'm very new to machine learning), and I've been trying to replicate code examples from Grigory Sapunov's book Deep Learning with JAX, which is copyrighted in ...
0votes
1answer
55views
Can self-balancing AI models be designed using fractal patterns and Taoist equilibrium principles?
I'm investigating an alternative AI decision-making framework that draws inspiration from Taoist philosophy, fractal intelligence, and adaptive feedback loops. Unlike traditional AI models that depend ...
user92640
0votes
0answers
32views
Why is training for the game 2048 not working well for me?
So i started training neural networks for the game 2048. Here is my code for using DQN algorithms to train. The gymnasium env code should be OK, so im not putting it here, but if you need, here is the ...
- 1
0votes
0answers
61views
How to solve the issue with getting free ports in Pytorch DDP?
I am facing issues with getting a free port in the DDP setup block of PyTorch for parallelizing my deep learning training job across multiple GPUs on a Linux HPC cluster. I am trying to submit a deep ...
1vote
0answers
21views
What Policy/Agent and Observation Spec To Use For TensorFlow Agents For Video Game Platformer?
I'm trying to create a model to beat a video game platformer I made a few months ago. In the game, the platforms scroll down from the sky and the player has to keep jumping to them to avoid touching ...
0votes
2answers
120views
How do I improve my model accuracy and val_accuracy for my cnn model?
I'm using 3000+ retinopathy images in my CNN model. The accuracy remains around 77 to 80, how do i improve the accuracy value and reduce loss value? I've tried dropout and Adam optimizer to increase ...
0votes
1answer
88views
Learning Curve of Learnig Machine is not good, how to improve?
I am having a problem with a machine learning model used to monitor alerts for binary classification, the image of the learning curve looks like this, obviously there is something wrong because the ...
1vote
0answers
89views
How to categorize and identify the most requested features from 1000+ GitHub issues using an LLM agent?
I have scraped over 1000+ GitHub issues from a repository using Crawlee. My goal is to segregate these issues based on their descriptions, title, number of comments and statuses. I want to identify ...
3votes
4answers
88views
Labeling policy for airplane detecting YOLO
I am training my YOLO to detect airplanes and drones. in some of the pictures it is impossible to detect that the object is indeed an airplane, and it even looks like a drone (pictures are taken from ...
- 31
0votes
0answers
44views
Python implementation of Label Ranking Trees
Label Ranking is a classification task in which there is a set of potential labels; given a feature vector, the classifier should decide how to rank the labels from most-relevant to least-relevant. As ...
0votes
0answers
20views
Training Image Classifier with 7 classes but my model is overfitting resulting the accuracy of the model to behave weirdly during training
I am training an image classifier for 7 different model types of a specific car engine parts. Each class has exactly 308 grayscale images with the same resolution of 1014x760. Those images consists ...
0votes
0answers
59views
PyTorch and Opacus for Differential Privacy
When testing an example code from the TensorFlow website using Jupyter Notebook, which is available at the following link: [LINK_1], I encountered an error. You can find my question about that error ...
- 293
0votes
0answers
45views
Cross validation and MICE imputation
I'm working on a binary classification problem where I have some missing data. My initial idea was to use MiceForest. I'm also using stratified k fold technique (Data is imbalanced). I also want to ...
1vote
0answers
30views
Best method for finding centroid of 3D object?
I'm somewhat new to machine learning and want to implement a manufacturing application that finds the centroid of an irregular object so that as little material as possible is removed during ...
0votes
0answers
46views
Segment a spectrogram into a series of images by (constant) beats per minute to train a Deep Neural Network
I have a .csv file with information about a soundtrack and it is divided into beats (per minute), which are ordered by row. As in: the index corresponds to each beat, and the columns have info about ...
