Learn With Jay on MSN

Backpropagation in neural networks step-by-step explained

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...
Learn With Jay on MSN

Build a deep neural network from scratch in Python

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...
IEEE

Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey

Abstract: With the adoption of smart systems, artificial neural networks (ANNs) have become ubiquitous. Conventional ANN implementations have high energy consumption, limiting their use in embedded ...
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 ...