TowardsMachineLearning

Deep Learning

OpenCV: Beginning for the Computer Vision enthusiast

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 …

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Introduction to GANs: Adversarial attacks and Defenses for Deep Learning

Introduction to GANs- The popularity of deep learning is growing, we are using the neural nets in every field to increase the productivity and the capabilities and of course neural nets has a lot of potential which can easily be justified by seeing their application. So till time, we are using the neural nets like …

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RCNN Family (Fast R-CNN ,Faster R-CNN ,Mask R-CNN ) Simplified

Introduction   In this article we’ll understand each object detection algorithm under RCNN family (Region Based Convolutional Neural Network). So, we assume you have been through our article on RCNN and we presume that you know about RCNN, if not you can click on this link first to read about RCNN.  Fast R-CNN Simplified Before we talk about the family …

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Convolutional Neural Networks

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 …

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