In a previous post, we covered the concept of fully convolutional neural networks (FCN) in PyTorch, where we showed how we could solve the classification task using the input image of arbitrary ...
The common saying is, "A picture is worth a thousand words." In this post, we will take that literally and try to find the words in a picture! In an earlier post about Text Recognition, we discussed ...
There are three important parts of Artificial Intelligence Natural Language ProcessingSpeechComputer Vision This post falls in the first category. In this post, we will learn a tool called ...
In this tutorial, we will discuss the various Face Detection methods in OpenCV, Dlib, and Deep Learning and compare the methods quantitatively. We will share code in C++ and Python for the following ...
In this article, we will learn about autoencoders in deep learning. We will show a practical implementation of using a Denoising Autoencoder on the MNIST handwritten digits dataset as an example. In ...
In this post, we will introduce several new concepts associated with the general problem of classification involving more than two classes. This is sometimes referred to as multinomial regression or ...
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