Say Hello to Artificial Intelligence
Say Hello to Artificial Intelligence
[Introduction] Traffic signs are everywhere on our roads, ensuring safety and efficient traffic flow. But what if we could teach a computer to understand and interpret these signs, just like humans do? That’s exactly what we’re going to explore in this video. [Project Overview] In this project, we trained a deep learning model to classify …
Traffic Sign Classification with 47 Classes: A Deep Learning Journey Read More »
Difference between Artificial intelligence, Data Science, Machine Learning, and Deep Learning Artificial intelligence: Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. These machines are trained to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language …
Exception handling is a mechanism in computer programming that allows the program to handle runtime errors that may occur in the course of its execution. This is done by identifying and catching exceptions, which are unexpected events or errors that may occur during the execution of a program. When an exception occurs, the program can …
Support Vector Machines (SVM) is a type of supervised machine learning algorithm that is commonly used for classification and regression tasks. It works by finding the best boundary or decision surface that separates the different classes in the data. This boundary is called the hyperplane and the points that are closest to it are called …
A convolutional neural network (CNN) is a type of deep learning model that is commonly used for image classification and other tasks that involve analyzing visual data. CNNs are composed of multiple layers, including convolutional layers, pooling layers, and fully connected layers. The convolutional layers of a CNN are responsible for extracting features from the …
As I mentioned in my previous blog, face mask detection uses deep learning techniques. In this blog, you will learn how to accurately detect the face mask and classify it into two categories (face mask and no face mask). For this purpose, first, we trained the deep learning CNN model (MOBILE NET) using the facemask …
Facemask detection using deep learning techniques. In this blog, you will learn how to accurately detect the face mask and classify it into two classes (face mask and no face mask). For this purpose First, we trained the deep learning CNN model(Resnet) using the facemask dataset. After training the model, we used that model with …
The advent of the World Wide Web and the rapid adoption of social media platforms (such as Facebook and Twitter) paved the way for information dissemination that has never been witnessed in the human history before.Consumers are creating and sharing more information than ever before thanks to social media platforms, some of it is inaccurate …
Fake News detection using machine learning with flask web application Read More »
Self-Supervised Learning (Self-Supervised Learning) is a new paradigm between unsupervised and supervised learning, which aims to reduce the challenging demand for large amounts of annotated data. It provides some kind of supervision signals for feature learning by defining annotation-free pretext tasks. The term self-supervised learning (SSL) has been used (sometimes differently) in different contexts and fields, such …
1.Linear Regression Linear Regression tends to establish a relationship between a dependent variable(Y) and one or more independent variable(X) by finding the best fit of the straight line.The equation for the Linear model is Y = mX+c, where m is the slope and c is the intercep. In the diagram, the blue dots we see …