Machine Learning 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
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
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 cake, and reinforcement
