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Generative adversarial networks

“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

Distance Measure in Python

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:

Run All Machine Learning models in Once

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 …

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Text Extraction Image to String

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 …

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Diagnosis for prediction of knee osteoarthritis using deep learning

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 …

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YOLO object detection algorithm

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 …

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Fake News detection using machine learning with flask web application

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 …

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