Computer Engineering

Introduction BERT is a game-changer in the field of natural language processing (NLP). As an abbreviation for Bidirectional Encoder Representations from Transformers, BERT has completely changed the way machines understand human language. It has paved the way for significant progress in areas such as sentiment analysis, question answering, and language Read more…

Introduction Logistic regression is a powerful algorithm commonly used for binary classification tasks in machine learning. In this article, we explore how logistic regression can be practically implemented using Python, with a focus on the well-known Iris dataset. This dataset is famous for its simplicity and effectiveness in demonstrating classification Read more…

Introduction Hey there! 👋 Today, we’re gonna dive into the world of linear regression. Our mission? Predict laptop prices using some cool Python and NumPy magic. We’ll be working with a dataset of laptops and trying to figure out how their screen size, RAM, and weight affect their price. Ready? Read more…

Introduction to Sleep Disorder Detection The main objective of this project is to develop a machine learning model that can accurately predict sleep disorders. To achieve this, we will be using various input features such as age, gender, occupation, and sleep duration. Also, check Machine Learning projects: Additionally, we have Read more…

Introduction for Dropout and Strides for Larger Models This notebook is designed for a hands-on activity in the Computer Vision course focusing on Deep Learning as an exercise Dropout and Strides for Larger Models. The tutorial can be accessed through the following link. You can also check: In the last Read more…

Introduction to Fashion Recommendation System In this blog, we’ll walk through the process of building a fashion recommendation system using a Convolutional Neural Network (CNN). You can also check: Specifically, we’ll use the VGG16 model pre-trained on ImageNet to extract features from fashion images and recommend similar items based on Read more…

Introduction This notepad utilizes the temporal arrangement of the data. Considering the anticipated prevalence of sequential Deep Learning models in this contest, I have devised a simple LSTM design to kickstart our efforts. But don’t forget to check: The settings are configured with fundamental values, leaving ample room for enhancement Read more…

Introduction In this guide, you will discover how to create an intelligent agent using reinforcement learning without relying on a heuristic. Rather than using a fixed strategy, we will continuously improve the agent’s performance by playing the game and aiming to increase the winning rate. Throughout this manual, we may Read more…

Introduction Welcome to our blog! 🎉 Today, we’re delving into Lesson 3: Exploring the Top Transformers and BERT Tutorial for Deep Learning and NLP. But don’t forget to check: Transformers and BERT are truly the superheroes of the NLP realm, changing the game in how we comprehend and analyze language. Read more…