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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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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Recurrent Neural Network (RNN) architecture explained in detail

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 …

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