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, forward propagation, backpropagation, and coding step by step for a hands ...
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 ...
abc13

Faithful Friends: The donor network helping feed families year-round

HOUSTON, Texas (KTRK) -- During the holiday season, generosity shines bright, but hunger doesn't follow a calendar. Faithful Friends, a community of donors, commit to giving a set monthly donation to ...
IEEE

Second-Order Sliding Mode Control of Flying-Wing Aircraft Based on Feedforward Neural Networks

Abstract: The flying-wing aircraft control problem is a major concern. In this paper, a new control strategy is introduced. First, a Feedforward neural network (FNN) modeling is introduced. Then, a ...
GitHub

What are neural networks?

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...
Frontiers

Deriving equivalent symbol-based decision models from feedforward neural networks

1 KNDS Deutschland GmbH & Co. KG, Munich, Germany 2 Institute for Software Technology, University of the Bundeswehr Munich, Neubiberg, Germany Artificial intelligence (AI) has emerged as a ...
Hackaday

A Neural Net For A Graphing Calculator?

Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...
IEEE

Feedforward Control for an Interventional X-Ray: A Parallel Physical Model and Neural Network Approach

Abstract: Hard-to-model, often nonlinear dynamics limit the tracking performance of physical-model-based feedforward control in medical interventional X-ray (IX) systems. In this article, these ...
Scientific Research Publishing

Leshno, M., Lin, V.Y., Pinkus, A. and Schocken, S. (1993) Multilayer Feedforward Networks with a Nonpolynomial Activation Function Can Approximate Any Function. Neural Networks ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...