Deep Learning with Yacine on MSN

Backpropagation with automatic differentiation from scratch in Python

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning ...
Learn With Jay on MSN

Neural network Python from scratch with softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
GitHub

Intent Classification with Feedforward Neural Network

This repository implements a Feedforward Neural Network (FFNN) in Python to classify intent from the NLU Benchmark dataset. The project focuses on understanding the learning process through manual ...
IEEE

Plasma Electron Density Estimation Using Backpropagation Neural Network

Abstract: It is important to study the electron density distribution of plasma sheath to inhibit the blackout phenomenon of reentry vehicle. In this article, we propose a new method to predict the ...
IEEE

Mitigating Surrogate Bias in Black-Box Pedestrian Attacks via Mask-Based Gradient Backpropagation

Abstract: This article studies transfer-based black-box pedestrian attacks in traffic scenes, where an attacker aims to deceive a target model by generating malicious examples using a surrogate model.
Microsoft

Gradients without Backpropagation

Using backpropagation to compute gradients of objective functions for optimization has remained a mainstay of machine learning. Backpropagation, or reverse-mode differentiation, is a special case ...