This study utilizes deep learning to enhance kiwifruit disease identification by evaluating eight advanced convolutional neural network (CNN) architectures on real-world field data. Among these, ...

self.fc_mu = nn.Linear(64 * 25 * 25, 256) # Output: 256 self.fc_logvar = nn.Linear(64 * 25 * 25, 256) # Output: 256 ...

In this article, we introduce a variational autoencoder (VAE)-based probabilistic FWI method to assess the uncertainty associated with subsurface parameters using unsupervised deep learning. By ...

This repository contains a comprehensive implementation of Variational Autoencoders (VAEs) applied to two different image datasets: CIFAR-10 and Fashion-MNIST. The project demonstrates how dataset ...

In this course, you will explore topics like convolutional neural networks ... Assignments require knowledge of Python and PyTorch at the level used in 24-888 Introduction to Deep Learning. This ...