Exploring the strong visual hierarchies that makes them work — The advent of powerful and versatile deep learning frameworks in recent years has made it possible to implement convolution layers into a deep learning model an extremely simple task, often achievable in a single line of code. However, understanding convolutions, especially for the first time can often feel a bit…

Deep Learning meets Interactive Evolutionary Computation — One of the more interesting questions for deep generative models is, how can a model take user preferences into account during the generation process? …

And why they’re so useful in creating your own generative text, art and even music — In contrast to the more standard uses of neural networks as regressors or classifiers, Variational Autoencoders (VAEs) are powerful generative models, now having applications as diverse as from generating fake human faces, to producing purely synthetic music. This post will explore what a VAE is, the intuition behind why it…