Tag: 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. ...

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

This tutorial teaches you how to create a convolutional autoencoder in PyTorch to generate images of faces. ...

In this tutorial, you will learn how to set up small experimentation and compare the Adam optimizer and the SGD optimizer (Stochastic Gradient Descent) optimizers for deep learning optimization. Specifically, you will learn how to use Adam for deep learning optimization. For a successful deep learning project, the optimization algorithm plays a crucial role. Stochastic […] ...