Variational AutoEncoders for new fruits with Keras and Pytorch.

Basically, what we are going to try to do, is compress our image into a latent vector (called the'bottleneck'), and from there on try to reconstruct the original image. The better we do this, the better of a smaller-size representation the latent vector is of our input image. We can use various techniques for the encoder and decoder network. First up, let's start of pretty basic with a simple fully connected auto-encoder, and work our way up from there. I've found this Keras blog post very helpful.