The world is evolving and so is the technology serving it. It's crucial for everyone to keep up with the rapid changes in technology. One of the domains witnessing the fastest and largest evolution is ...
PyTorch for Beginners: Image Classification using Pre-trained models
Hi! This post is part of our PyTorch series. In the previous post we discussed PyTorch, it's strengths and why should you learn it. We also had a brief look at Tensors - the core data structure ...
PyTorch for Beginners: Semantic Segmentation using torchvision
This post is part of the series in which we are going to cover the following topics. 1. What is Semantic Segmentation? Semantic Segmentation is an image analysis procedure in which we classify ...
Image Classification using Transfer Learning in PyTorch
Recently PyTorch has gained a lot of popularity because of its ease of usage and learning. Andrej Karpathy, Senior Director of AI at Tesla, said the following in his tweet. Jokes apart, PyTorch ...
Faster R-CNN Object Detection with PyTorch
1. Image Classification vs. Object Detection Image Classification is a problem where we assign a class label to an input image. For example, given an input image of a cat, the output of an image ...
Mask R-CNN Instance Segmentation with PyTorch
In this post, we will discuss the theory behind Mask R-CNN and how to use the pre-trained Mask R-CNN model in PyTorch. This post is part of our series on PyTorch for Beginners. 1. Semantic ...
