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Alexander Nilsson

9 posts •
Deep Learning

Introduction to Multi-Agent Systems (MAS)

Multi-Agent Systems (MAS) consist of autonomous agents that interact with each other and their environment to achieve individual or collective goals.

Alexander Nilsson
Deep Learning

Neural Scaling Law: A Brief Introduction

Neural scaling law is a term that describes how the performance of a neural network model depends on various factors such as the size of the model, the size of the training dataset, the cost of training, and the complexity of the task.

Alexander Nilsson
Deep Learning

Deep Learning for traffic prediction [project with source code]

This article at OpenGenus explores the development of a Deep Learning (DL) traffic predictor using a comprehensive dataset.

Alexander Nilsson
Deep Learning

Understanding AdaDelta: An Adaptive Learning Rate Optimization Algorithm

In this article at OpenGenus, we will explore AdaDelta from the ground up, understanding its mechanics and the benefits it offers over traditional optimization techniques.

Alexander Nilsson
Deep Learning

He initialization in Deep Learning

He initialization, also known as Kaiming Initialization, is a widely used technique in deep learning for initializing the weights of neural networks. It was introduced by Kaiming He et al. in 2015 as an improvement over the traditional random initialization methods.

Alexander Nilsson
Deep Learning

7 Different Prompting Techniques

In this article at OpenGenus, we will explore various techniques utilized in prompt engineering, shedding light on the most popular and effective approaches.

Alexander Nilsson
Deep Learning

Squeeze and Excitation (SE) Block

The SE block focuses specifically on improving the channel relationship. It introduces a mechanism to capture and emphasize important channel-wise information, enabling CNNs to better discriminate and learn relevant features.

Alexander Nilsson
Deep Learning

Use of Deep Learning for VR/AR

In recent years, deep learning has begun to be used in VR/AR applications. This is because deep learning can be used to improve the realism, interaction, and immersion of VR/AR experiences.

Alexander Nilsson
Machine Learning (ML)

Hyperplane in SVM

In SVMs, a hyperplane is a subspace of one dimension less than the original feature space. In two-dimensional space, a hyperplane is a line, while in three-dimensional space, it is a plane.

Alexander Nilsson
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