Deep Learning with Yacine 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 ...
Deep Learning with Yacine on MSN

Understanding Forward Propagation in Neural Networks with Python – Step by Step

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...
IEEE

Parametric Activation Functions for Neural Networks: A Tutorial Survey

Abstract: Activation functions are pivotal in neural networks, determining the output of each neuron. Traditionally, functions like sigmoid and ReLU have been static and deterministic. However, the ...
GitHub

Tutorial Beziers_for_Beginners

Bézier curves are parametric curves defined by polynomial equations. To work with Béziers in OpenSCAD we need to load BOSL2/std.scad, which includes the extension beziers.scad. Bézier curves vary by ...
C&EN

GSH and Halides Directed Controllable Synthesis of Chiral Gold Nanostars for Sensitive Diagnosis of Nephritis Types Using SERS and Transformer Neural Network

Institute of Digitized Medicine and Intelligent Technology, Wenzhou Medical University, Wenzhou 325000, P. R. China ...
IEEE

Convolutional Dynamically Convergent Differential Neural Network for Brain Signal Classification

Abstract: The brain signal classification is the basis for the implementation of brain–computer interfaces (BCIs). However, most existing brain signal classification methods are based on signal ...