Say Hello to Artificial Intelligence
Say Hello to Artificial Intelligence
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 …
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, …
“Generative adversarial networks (GANs) are an exciting recent innovation in machine learning. GANs are generative models: they create new data instances that resemble your training data. For example, GANs can create images that look like photographs of human faces, even though the faces don’t belong to any real person. “ Now Train The Model Results
Text extraction, often known as keyword extraction, is a method of automatically scanning text and extracting relevant or core words and phrases from unstructured data such as news articles, surveys, and customer service issues using machine learning. In this blog, we will see how we can extract text by using pytesseract library. First, 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 …
In recent days, skin cancer is seen as one of the most Hazardous form of Cancers found in Humans. Skin cancer is found in various types such as Melanoma, Basal and Squamous cell Carcinoma among which Melanoma is the most unpredictable. The detection of Melanoma cancer in the early stage can be helpful to cure …
Skin Cancer Detection With Android App | Complete Project Read More »