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 ...
Deep Learning Based Text Detection Using OpenCV (C++/Python)
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 ...
Universal Sentence Encoder
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 ...
Face Detection – Dlib, OpenCV, and Deep Learning ( C++ / Python )
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 ...
Autoencoders Explored: Understanding and Implementing Denoising Autoencoders with Tensorflow (Python)
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 ...
Implementing an MLP in TensorFlow & Keras
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 ...