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.
Deep Learning Concatenation Operation in CNN In this article at OpenGenus, we will explore the notion of Concatenation operation in CNN in detail.
Deep Learning Predicting Bike Sharing Demand In this article at OpenGenus, we will work on predicting bike sharing demand using a dataset provided by University of California, Irvine. The dataset contains count of public bikes rented at each hour in Seoul Bike sharing System with the corresponding Weather data and Holidays information.
Deep Learning Different types of Attention Mechanism This article at OpenGenus aims to explore and walk you through the main types of Attention Mechanism models and the main approaches to Attention.
Deep Learning Dot Product in Deep Learning In this article at OpenGenus, we have explored the fundamental concept of the mathematical operation Dot Product in the field of Deep Learning.
Deep Learning Pancreatic volumetry using Deep Learning In this article at OpenGenus, we will expand our approach to involve pancreas volumetry detection using deep learning algorithms.
Deep Learning 25 Must-Read NLP Papers in Deep Learning: A Comprehensive List In this article at OpenGenus, we will list some of the must-read research papers in the field of NLP that have had a significant impact on the development of deep learning models for NLP tasks.
Deep Learning 21 Time Series/ Forecasting Project Ideas in DL/ML In this article at OpenGenus, we present a list of 21 time series/forecasting project ideas that can help you improve your skills and understanding of deep learning techniques.
Deep Learning Matrix Multiplication vs Dot Product In this article at OpenGenus, we have explored the importance and link between Matrix Multiplication and Dot Product both in general and in the field of Deep Learning (DL).
Deep Learning Scaled Dot-Product Attention There are several approaches to achieve this and this article at OpenGenus aims to walk you through the core operations of one of the most efficient approaches: The Scaled Dot-Product Attention technique.
Deep Learning Advantages of CNN and DCNN In this article at OpenGenus, this topic will delve into the various advantages of CNN and DCNN in detail, and explain how these architectures have revolutionized computer vision applications.
Research Papers Attention Is All You Need: Paper Summary and Insights In 2017, Vaswani et al. published a groundbreaking paper titled "Attention Is All You Need" at the Neural Information Processing Systems (NeurIPS) conference. This article at OpenGenus summarizes this paper and present the key insights.