Abstract: In the era of big data, dimensionality reduction is essential for addressing challenges posed by high-dimensional datasets. This paper empirically compares Principal Component Analysis (PCA) ...

I’d like to propose adding support for inbuilt data loading of image-based datasets in PyDeepFlow, starting with the MNIST dataset. Currently, the datasets.py file includes built-in loaders for ...

Abstract: This research provides a novel method for digitally differentiating identical and non-identical twins using machine learning. The main goal is to present a novel approach that, by applying ...

Hi! Thanks for checking out my tutorial where I walk you through the process of coding a convolutional neural network in java from scratch. After building a network for a university assignment, I ...