After the release of PyTorch in October 2016 by Facebook, it quickly gained popularity because of its developer friendliness. With its transparent and Pythonic interface, it is great for research and ...
Transfer Learning For Pytorch Image Classification
Transfer Learning has revolutionized the way we approach image classification in PyTorch. Recently PyTorch has gained a lot of popularity because of its ease of usage and learning. Andrej Karpathy, ...
Gender and Age Classification using OpenCV Deep Learning ( C++/Python )
In this tutorial, we will discuss an interesting application of Deep Learning applied to faces. We will estimate the age and figure out the gender of the person from a single image. The model is ...
Fast Image Downloader for Open Images V4
Last year, Google released a publicly available dataset called Open Images V4 which contains 15.4M annotated bounding boxes for over 600 object categories. It has 1.9M images and is largest among all ...
CPU Performance Comparison of OpenCV and other Deep Learning frameworks
In this post, we will compare the performance of various Deep Learning inference frameworks on a few computer vision tasks on the CPU. Surprisingly, with one exception, the OpenCV port of various ...
Batch Normalization in Deep Networks
In this post, we will learn what Batch Normalization is, why it is needed, how it works, and how to implement it using Keras. Batch Normalization was first introduced by two researchers at Google, ...