How do I perform a convolution in python with a variable-width Gaussian? Smoothing with Style Performing Variable Width Gaussian Convolution in Python Convolution is a fundamental operation in image processing and signal analysis oft 3 min read 07-10-2024 29
Implementing 2D-convolution in python(Solved) Demystifying 2 D Convolution in Python From Theory to Implementation Convolutional Neural Networks CNNs are a powerful tool in the field of machine learning par 3 min read 05-10-2024 42
Why are the values different when performing convolution on 1D array with product of FFTs? Understanding the Differences in Convolution Values from FFTs on 1 D Arrays When performing convolution on a 1 D array one method often employed is using the Fa 2 min read 24-09-2024 42
Why does my numpy convolution appear off-centred? Why Does My Num Py Convolution Appear Off Centered When working with convolution operations in Num Py you may notice that the results appear off centered which 3 min read 22-09-2024 57
Why torch.nn.Conv2d(in_channels=3, out_channels=4, kernel_size=(3,2)) have a weight.shape of (4,3,3,2) but will output (4,3,3)? Understanding Py Torchs torch nn Conv2d Weights and Output Dimensions Explained In the world of deep learning understanding the operations of convolutional laye 3 min read 15-09-2024 40
Downsampling complex probability distributions Downsampling Complex Probability Distributions A Practical Guide Downsampling is a common technique used in data analysis to reduce the size of a dataset while 3 min read 13-09-2024 55
Input 0 of layer conv1d is incompatible with the layer: : expected min_ndim=3, found ndim=2. Full shape received: (None, 30) Understanding and Fixing the Input 0 of layer conv1 D is incompatible Error in Tensor Flow This article will address a common error encountered when using 1 D C 2 min read 04-09-2024 51
Clarification on the concept of using a separable filter vs. without a separable filter Understanding Separable Filters Saving Computational Resources in Image Processing Separable filters are a powerful technique in image processing that can signi 2 min read 02-09-2024 44
Curve Fit for interpolated data Dealing with Unevenly Spaced Data in Curve Fitting A Deep Dive When dealing with scientific data its not uncommon to encounter data points that are unevenly dis 3 min read 31-08-2024 43
Is it some kind of numerical instability for this convolution product (C language)? Unraveling Numerical Instability in C Convolution A Stack Overflow Analysis This article explores a common issue faced by programmers when implementing convolut 2 min read 29-08-2024 50