Building an Image Recognition Model using TensorFlow and Keras Libraries in Python Image recognition models are extremely useful in a wide range of applications, from autonomous vehicles and medical diagnosis to social media analysis and e-commerce. By teaching a computer to identify and classify images based on certain features, such as color, shape, and texture, we can automate tasks that would be difficult or impossible for humans to do at scale. For example, an image recognition model can be used…
Using OpenCV with Python for Computer Vision. (Face Detection, Edge Detection & More)
Using OpenCV with Python for Computer Vision. (Face Detection, Edge Detection & More) In this tutorial, I will go over the basics of using OpenCV with Python for image and video processing. I’ll cover how to install OpenCV (it’s easier than teaching your grandparents how to use Facebook), import it into Python, read and display images and videos, and perform tasks such as grayscale conversion, edge detection, and face detection (Real Secret Agent Type Stuff). With OpenCV, the possibilities for…
Introduction to Machine Learning
Introduction to Machine Learning Here’s an overview of what we’ll cover in this article: Introduction to Machine Learning Types of Machine Learning Steps in a Machine Learning Project Data Preprocessing Model Selection and Training Model Evaluation Hyperparameter Tuning 1. Introduction to Machine Learning Machine learning is a subset of artificial intelligence that involves using algorithms to analyze and make predictions or decisions based on data. In machine learning, we train a model on a set of labeled data, and then…