In our recent post about receptive field computation, we examined the concept of receptive fields using PyTorch. We learned receptive field is the proper tool to understand what the network 'sees' ...
CNN Fully Convolutional Image Classification with TensorFlow
In a previous post, we had covered the concept of fully convolutional neural networks (FCN) in PyTorch, where we showed how we can solve the classification task using the input image of arbitrary ...
Deep Learning based Text Detection Using OpenCV (C++/Python)
There is a common saying, "A picture is worth a thousand words". In this post, we are going to take that literally and try to find the words in a picture! In an earlier post about Text Recognition, we ...
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 – OpenCV, Dlib 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 ...
Keras Tutorial : Fine-tuning using pre-trained models
In the previous two posts, we learned how to use pre-trained models and how to extract features from them for training a model for a different task. In this tutorial, we will learn how to fine-tune a ...