Category: Convolutional Neural Networks

This article describes the concept of Spatial Transformer Networks in deep learning and computer vision. The readers will also get hands-on coding experience by applying the concepts using PyTorch framework. ...

In this article, readers will get to know how to use the Faster RCNN object detector pretrained on the COCO dataset for object detection. Readers will get to detect objects in images and videos using the PyTorch deep learning framework. ...

Many beginners in the field of computer vision and deep learning start with image classification. After exploring much deep learning image classification techniques, datasets, and architectures, they want to try something more exciting and challenging. And most of them move towards deep learning for object detection. But soon they realise that there are numerous techniques […] ...

In this tutorial, we will be implementing the Deep Convolutional Generative Adversarial Network architecture (DCGAN). We will go through the paper Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks first. This paper by Alec Radford, Luke Metz, and Soumith Chintala was released in 2016 and has become the baseline for many Convolutional GAN architectures […] ...

This blog post explores how to save model properly in PyTorch that helps in resuming training later on. ...