Introduction:- In the previous OpenCV articles, we have discussed the various functions in OpenCV that are very much useful in building a computer vision model. In this article we will be discussing the Application of some of those function, we will build a face detector classifier using OpenCV. So if you don’t have much knowledge …
Introduction:- In the previous article on ‘OpenCV: Beginning for the Computer Vision enthusiast’, we have talked about the basic and the most useful function in the OpenCV that helps us to build the computer vision projects. So, in this article we are going to see some more important functions in an OpenCV that helps us …
Introduction:- In the article “OpenCV: Beginning for the Computer Vision enthusiast”, we’ll focus on What and why we use OpenCV for Computer Vision, Reading, writing and displaying the images, Color spaces in OpenCV, Resizing, Rotation, translation of the images, Thresholding in OpenCV, different Image enhancement techniques. Computer vision is one of the hottest and the …
OpenCV: Beginning for the Computer Vision enthusiast Read More »
Introduction to GANs in Computer Vision- In the previous article we have discussed about the Adversarial examples, Attacks and defenses. If you haven’t checked the previous article yet, then click here to read that to get better understanding of the topic before we go bit advanced in this topic. Furthermore, you can click here to …
Introduction- Convolutional Neural networks also known as ConvNets or CNN. ConvNet is famous for image analysis and classification tasks and so are frequently used in machine learning applications targeted at medical images. They also have an excellent capacity in sequent data analysis such as NLP(Natural Language Processing). Some of the application of CNN that might …
Build Face mask detector using RetinaNet model ,Gather Data using Web Scraping ,Create Dataset with labelImg tool, Model Training ,Model Testing
Lately RetinaNet model for object detection has been buzz word in Deep learning community.
What is Focal Loss ,Need of Focal Loss,Cross Entropy Loss ,Problem with Cross Entropy ,Balanced Cross Entropy, Problem with Balanced Cross Entropy
What is Back Propagation through time (BPTT) in Recurrent Neural Network, Vanishing Gradient , Exploding Gradient ,Gradient Clipping ,Long Term Dependencies
Introduction:- In this article I would assume that you have a basic understanding of neural networks . In this article,we’ll talk about Recurrent Neural Networks aka RNNs that made a major breakthrough in predictive analytics for sequential data. This article we’ll cover the architecture of RNNs ,what is RNN , what was the need of …
Recurrent Neural Network (RNN) architecture explained in detail Read More »