All Questions
Tagged with numpy machine-learning
1,836
questions
-1
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0
answers
34
views
How to solve Process finished with exit code -1073741819 (0xC0000005) in Python? [closed]
I am using Python 3.8 in Pycharm. I have Windows 10 and wanted to reproduce this publicly available code:
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
import sys
sys.setrecursionlimit(4000)
import ...
-3
votes
0
answers
30
views
Neural Network cost not changing [closed]
I can't seem to figure out why my cost print function is giving me the same cost every time and my weights and biases are not changing. Help would be greatly appreciated and I have tried putting it ...
0
votes
0
answers
26
views
PyTorch huge dataset constraints?
I'm training a model in Pytorch to do image-to-image processing. My data is huge, shape is (64152, 3, 5, 2, 64, 144). I'm using memmapping to save on memory as much as humanly possible.
The issues ...
0
votes
1
answer
45
views
segment_anything causing error with numpy.uint8
I am trying to run https://github.com/facebookresearch/segment-anything/blob/main/notebooks/onnx_model_example.ipynb locally, on an M2 MacBook with Sonoma 14.5. However, I keep running into the ...
- 3,091
-1
votes
0
answers
14
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neural network customisable from scratch
i made a neural network from scratch .only using numpy library .but the loss function didn't converge ,and the accuracy is not stable.please help me to figure out the problme .and if you can give me ...
1
vote
0
answers
24
views
Value Error in code for neural network approximation
import numpy as np
import matplotlib.pyplot as plt
# Define the target function f(x) = sin(x)^2
def f(x):
return np.sin(x)**2
# Generate training dataset
np.random.seed(0) # For reproducibility
...
- 31
0
votes
0
answers
50
views
Strange error with mxnet, gluonts, and numpy
Whenever I attempt to install mxnet, I am hit with the error:
C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.40.33807\bin\HostX86\x64\cl.exe /c /nologo /O2 /W3 /GL /DNDEBUG /...
0
votes
0
answers
44
views
Unable to allocate memory for a Reinforcement Learning problem
import gym
from gym import spaces
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from stable_baselines3 import PPO
from stable_baselines3.common.env_util import ...
- 21
0
votes
1
answer
90
views
Center an image and adding a background at export
I want to automate all of this:
Select an object in an image
Crop my image on this object
Crop to 1:1 aspect ratio, leaving a slight gap around this object
Export my image in JPG format in 800x800px ...
- 1
0
votes
0
answers
41
views
TypeError: new(): invalid data type 'str' when creating PyTorch Geometric Data object
labeled_X and unlabeled_X are node features (that is gene/protein expressions) matrices for the annotated reference dataset and target unannotated dataset, respectively. They should be numpy arrays ...
- 1,505
0
votes
0
answers
69
views
Pytorch in GPU is much slower than numpy on CPU？
I've run across the problem that in an MNIST training pytorch GPU method is much slower than merely applying numpy on CPU.
the MNIST data is in the form of csv.
torch method
import os
import time
...
- 1
1
vote
1
answer
63
views
Stochastic Gradient Descent algorithm does not work properly (Python)
I need to write SGD-Perceptron for digit recognition according to this guidelines:
The selection is MNIST database with 60000 training samples.
Get random vector and calculate net (weighted sum) and ...
- 11
0
votes
0
answers
27
views
weird plot pattern for mini-batch implementation of a linear regression model
I had to implement gradient descent to learn the B0 and B1 for predicting a linear polynomial equation the program runs as expected but the plot shows that the training error and the testing error of ...
-2
votes
1
answer
47
views
The training error and testing error is very similiar for linear regression model when using gradient descent [closed]
I had to implement gradient descent to learn the B0 and B1 for predicting a linear polynomial equation the program runs as expected but the plot shows that the training error and the testing error of ...
0
votes
1
answer
20
views
ValueError: matmul: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (n?,k),(k,m?)->(n?,m?) (size 5 is different from 3)
import numpy as np
from numpy.linalg import inv
from scipy.linalg import pinv
# Define necessary functions
def create_laplacian_from_adjacency(adj_matrix):
degree_matrix = np.diag(adj_matrix.sum(...
