Hosted on MSN

Deep Neural Network from Scratch in Python – Fully Connected Feedforward Tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
IEEE

Analog feedforward equalizer optimization in the context of 50G-PON

Abstract: We address one of the challenges of 50 gigabit capable passive optical network (50G-PON) implementation induced by the limited bandwidth of low-cost components and signal distortions of ...
Forbes

How ERP Implementation Can Transform Companies' Day-To-Day Reality

Enterprises without integrated systems face inefficiency, which often presents itself as an organizational process. Departments exist separately from one another, and spreadsheets disappear between ...
IEEE

Python to FPGA: Automatic Implementation of custom CNN Model on FPGA

Abstract: With the rapid development of artificial intelligence neural network technology, the architecture of convolutional neural networks (CNNs) has been evolving towards greater complexity and ...
GitHub

Randomized-Based Feedforward Neural Network

Welcome to the Advanced Neural Network for Multi-Class Classification repository! This project implements a PyTorch-based neural network following the novel approach outlined in "A Multi-Class ...
GitHub

Solving Ordinary Differential Equations Numerical Method Implementation in Python

Euler Method: The simplest numerical method for solving ODEs, which uses the derivative to project forward. [ y_{n+1} = y_n + h \cdot f(x_n, y_n) ] Heun's Method (Improved Euler Method): A two-step ...
ascopubs.org

Barriers and Challenges to Implementing a Quality Improvement Program: Political and Administrative Challenges

Quality improvement (QI) programs have rapidly grown in health care over recent years. Despite increasing evidence of successful QI initiatives resulting in improved outcomes, the adoption and ...