Deep Learning

RMSprop (Root Mean Square Propagation)

RMSprop is a widely used ML optimization algorithm, adapting learning rates based on historical gradients. The article outlines its workings, advantages over traditional methods, discusses some drawbacks, and explores its current applications and future potential.

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.

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.

Artificial Intelligence

Use of AI in Cyber Security: Harnessing the Power of Artificial Intelligence in Cybersecurity

This article at OpenGenus explores the diverse use cases of AI in cybersecurity and highlights specific examples where AI has made a notable impact.

Machine Learning (ML)

Interpretable Machine Learning: Exploring Techniques for Understanding Model Decisions

In this article at OpenGenus, we will delve into various techniques and methods for interpreting machine learning models, empowering practitioners to gain transparency and insights into model decisions.

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.

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.

Deep Learning

Understanding Label Smoothing

In the realm of deep learning, label smoothing has emerged as a powerful technique for improving the generalization and robustness of neural network models.

Deep Learning

8 Use-cases of Deep Learning for Games

Deep learning has emerged as a transformative force across various industries, and game development is reaping the benefits of this cutting-edge technology.

Reinforcement Learning (RL)

Play Mario Game with AI [Reinforcement Learning Project]

In this project at OpenGenus, we have demonstrated how to play Mario Game using Reinforcement Learning.

Machine Learning (ML)

Vehicle Insurance Sales [ML Project]

The research question is what factors influence different types of people to buy auto insurances from a specific company. In this project at OpenGenus, we answer this.

Deep Learning

22 Deep Learning use-cases in Transportation

In this article at OpenGenus, we will explore some of the uses of deep learning in modern day transportation and transport systems, and how it has improved the methods of transport we prefer today.

Deep Learning

Global Temperature Change Prediction using ML and DL

This article at OpenGenus explores how ML and DL can be effectively utilized for global temperature change prediction.

Machine Learning (ML)

Interactive Analytics Web Page [ML Project]

In this tutorial at OpenGenus, we will explore how to create an interactive data visualization using D3.js, a popular JavaScript library for data visualization.

Machine Learning (ML)

Identify creditworthy borrowers [ML project]

This article developed during my internship at OpenGenus, we will delve into the key components of credit scoring, including the significance of feature selection, data preprocessing, and model evaluation.

Machine Learning (ML)

Predicting Customer Lifetime Value in Retail [ML Project]

The process of calculating the Lifetime Value is relatively straightforward. First, we need to determine a specific time window, which can range from 3 to 24 months.

Deep Learning

Building your own GPT code assistant

In this article, we have explored how one can build their own GPT code assistant that is Code generation using GPT model architecture.

Web Development

16 Uses of Machine Learning (ML, DL, AI) in Web Development

In this article at OpenGenus, we will talk about the use of Machine Learning, Deep Learning and Artificial Intelligence in web development.

Deep Learning

Add operation in Deep Learning

In this article at OpenGenus, we will dive into the TensorFlow layers.Add operation, explore its usage in Deep Learning models through both mathematical expressions and Python code snippets.

Deep Learning

Concept of Multiple Instance Learning (MIL)

In the field of machine learning, Multiple Instance Learning (MIL) is a paradigm that expands upon traditional supervised learning. MIL differs from conventional supervised learning, where each training instance is individually labeled.

Deep Learning

Megatron NLG model

NVIDIA created the massive transformer-based NLG model known as Megatron. It is based on the transformer architecture and made to produce text that resembles human speech quickly and accurately.

Machine Learning (ML)

10 Feature Scaling Techniques in Machine Learning

In this article at OpenGenus, we will explore feature scaling techniques in Machine Learning and understand when to use a particular feature scaling technique.

Deep Learning

Residual Connections in DL

In this article at OpenGenus, we will explore the concept of Residual Connections in deep learning.

Deep Learning

Social Distancing Checker using Deep Learning: An Approach to Ensure Public Safety

In this project at OpenGenus, we aim to build a social distancing checker using deep learning techniques. The goal is to analyze a video or series of images and detect instances where people are not maintaining the recommended social distance.

Machine Learning (ML)

Huber and Hinge loss

Loss functions are an important part of Machine Learning. Two common loss functions that we will focus on in this article at OpenGenus are the Huber and Hinge loss functions.