Tag: Machine Learning

This article describes how to use deep learning and spatial transformer networks to reduce distortions in images. We will be using the PyTorch deep learning framework. ...

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, we explore automatic mixed precision training using PyTorch. ...

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 […] ...

In this blog post, we train a Vanilla GAN using PyTorch to generate images from the MNIST digit dataset. ...