The Data Science Lab Data Dimensionality Reduction Using a Neural Autoencoder with C# Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation ...

We proposed a convolutional autoencoder with sequential and channel attention (CAE-SCA) to address this issue. Sequential attention (SA) is based on long short-term memory (LSTM), which captures ...

Toward this goal, we present a semi-supervised learning scheme that tracks the speaker using acoustic features only. Specifically, we extend a recently proposed method called local conformal ...

This project implements an end-to-end solution for automatic image colorization using a U-Net autoencoder. The model takes grayscale images as input and generates realistic colorized versions while ...