Say Hello to Artificial Intelligence
Say Hello to Artificial Intelligence
Image classification is the process of assigning a label or category to an image based on its visual content. It is a common task in computer vision, and there are many algorithms and models that can be used to perform image classification. Convolutional Neural Networks (CNNs) are a type of deep learning model that are …
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 …
Fashion-MNIST is a dataset of Zalando’s article images, consisting of a training set of 60,000 examples and atest set of 10,000 examples. Each example is a 28×28 grayscale image, associated with a label from 10classes.Each training and test example is assigned to one of the following labels: T-shirt/top, trousers, Pullover,Dress, Coat, Sandal, Shirt, Sneaker, Bag, …
Computer Vision is one powerful tool that helps in predicting various tasks.In this blog, you will learn how to measure the distance between a person and a camera. step 1 download the Haarcasde classifier to detect faces in real-time (haarcascade_frontalface_default.xml). https://github.com/kipr/opencv/tree/master/data/haarcascades Code:
This library offers you the possibility to evaluate many machine learning models at the same time,using sk-learn and saving a lot of time and coding. In this blog, we will see how we can use multiple models at once for prediction using Lazy Predict library. CLASSIFICATION MODELS CLASSIFICATION MODELS CLASSIFICATION MODELS First, you need to …
In this blog, we learn how to diagnosis the prediction of X-rays knee classification using Convolutional neural network and then deploy the model using Web-based Flask application. Diagnosis for the prediction of knee osteoarthritis using deep learning techniques. The dataset consists of 1650 digital X-ray images of knee joint which are collected from well reputed …
Diagnosis for prediction of knee osteoarthritis using deep learning Read More »
DATASETS IN AI AND ML A Christmas Tale – The Importance of Labels. A label on a gift box can convey a number of things. The obvious reason being who it’s for and who has sent the gift. One can also attach heartfelt sentiments giving a guess of what might be inside, but what is …
YOLO (You only look once) is the state-of-the-art, real-time system built on deep learning for solving object detection problems. YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities. A …
I have been through many people who ask me about How to become Machine learning experts and do we require a PhD degree to become machine learning engineers? So before answering these questions I would like to briefly explain who is the machine learning Expert/Engineer? Who is ML Expert/Engineer? A Machine learning engineer is the …