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In this article, we will learn Face recognition using OpenCV in Python & master the skills to implement facial recognition effortlessly.
FaceNet is considered to be a state-of-art model developed by Google. It is based on the inception layer, and explains complete architecture
Pytorch Lightning an open-source library that inherits Pytorch. It automates a lot of the coding that comes with deep learning and neural networks
Lets talk about a very popular architecture in deep learning to handle various unsupervised problems: Denoise Images with Autoencoders
Optical Character Recognition (OCR) is a technique of reading or grabbing text from images and convert them into a digital format
In this article, we are going to learn about Transfer Learning using VGG16 in Pytorch and see how as a data scientist we can implement it
In this article, we will Understanding ResNet and analyzing various models on the CIFAR-10 data. This is an important deep learning concept
EasyOCR is actually a python package that holds PyTorch as a backend handler. Let's learn about extracting text from images using EasyOCR.
CNN is a powerful algorithm for image processing. This article is a beginners guide to image processing using CNN & MNIST dataset.Start Reading Now!
we are going to discover how to attach textual watermarks to an image using OpenCV & PIL to implement various techniques of image manipulations
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