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.
Deep Learning GPT-2 vs GPT-3 vs GPT-3.5 vs GPT-4: A Comprehensive Comparison of OpenAI LLMs In this article at OpenGenus, we will provide a comprehensive comparison of the GPT models, highlighting the differences between GPT-2, GPT-3, GPT-3.5, and what we know so far about GPT-4.
Deep Learning ERNIE 3.0 TITAN LLM Pre-trained language models such as ERNIE, GPT, BERT have revolutionized the field of Natural Language Processing (NLP) by improving language generation, analysis and understanding. This article aims to provide you an overview of Baidu's ERNIE 3.0 TITAN LLM and briefly explore its architecture.
Deep Learning Variational Autoencoder with implementation in TensorFlow and Keras In this article at OpenGenus, we will explore the variational autoencoder, a type of autoencoder along with its implementation using TensorFlow and Keras.
Deep Learning 4 Types of backpropagation In this article at OpenGenus, we have explained the 4 different types of Backpropagation.
Deep Learning ChatGPT vs Google BARD Two distinct language models, ChatGPT and Google BARD, were created by two separate businesses, OpenAI and Google, respectively. Even if they have certain things in common, they also differ greatly.
Deep Learning GPT-3 vs GPT-4 This article at OpenGenus aims to inculcate a basic technical understanding of the differences between GPT-3 and GPT-4.
Machine Learning (ML) Hinge Loss for SVM This article at OpenGenus will examine the notion of Hinge loss for SVM, providing insight into loss function.
Deep Learning OpenAI Codex: A Technical Overview: Model behind LLM The aim of this article at OpenGenus shall be to facilitate an understanding of the concepts and principles behind the OpenAI Codex, it's applications and it's implementation for use by a layperson.
Culture People who started the LLM revolution In this article at OpenGenus, we will take a look at what the team of 8 people are doing today who where behind the revolutionary paper that triggered the growth of Large Language Models (LLM) like ChatGPT/ GPT-4 since 2017.
Machine Learning (ML) Multi-output learning and Multi-output CNN models In this article at OpenGenus, we have explored the part of Deep Learning where a model is trained to produce multi-outputs (more than 1) in contrast to standard Deep Learning models like ResNet50 for Image Recognition.
Machine Learning (ML) Unpooling operations in ML models In machine learning models, the pooling operation that was previously carried out in the network is reversed using the unpooling operation.
Machine Learning (ML) Gradient Boosting Machines (GBM) What is a Gradient Boosting Machine in ML? That is the first question that needs to be answered to a beginner to Machine Learning.
Deep Learning Large Language Models (LLM) This article at OpenGenus will explore the history of large language models (LLM), their underlying concepts, use cases, and real life implementations.
Machine Learning (ML) Decision Boundary in ML Decision boundary is a crucial concept in machine learning and pattern recognition. It refers to the boundary or surface that separates different classes or categories in a classification problem.