The demo sets up training parameters for the batch size (10), number of epochs to train (100), loss function (mean squared error), optimization algorithm (stochastic gradient descent) and learning ...

a lightweight deep state-space autoencoder algorithm that can perform raw audio denoising, super resolution and de-quantization optimized for the edge. "Real-time Speech Enhancement on Raw Signals ...

To develop their model, the researchers used a machine learning algorithm called an autoencoder, which automatically integrates gigantic swaths of data into a concise representation—a simpler ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...