Felipe Ducau - Paperspace Blog

Style Transfer Part 2: Face Swap!

Face transfer using deep neural nets Introduction In the previous article we looked at what style transfer was and how to use it to create your own art. Now, we will focus on how to extend the capabilities of style transfer beyond the art

Machine Learning

Recurrent Neural Networks (RNNs) : Part 1

Building an intuition There is a vast amount of data which is inherently sequential, such as speech, time series (weather, financial, etc.), sensor data, video, and text, just to mention some. Recurrent Neural Networks (RNNs) are a family of neural networks designed specifically for

GPU

Adversarial Autoencoders (with Pytorch)

"Most of human and animal learning is unsupervised learning. If intelligence was a cake, unsupervised learning would be the cake [base], supervised learning would be the icing on the