Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...
Professional python hunters spotted something strange happening in a South Florida pond. They soon realized they might be the ...
Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...
Abstract: In this paper, we present a novel convolution theorem which encompasses the well known convolution theorem in (graph) signal processing as well as the one related to time-varying filters.
Abstract: Kernel point convolution (KPConv) defines convolutional weights based on Euclidean distances between kernel points and input points and has shown good segmentation results on several ...