Picasso: A free open-source visualizer for CNNsWhile it’s easier than ever to define and train deep neural networks (DNNs), understanding the learning process remains somewhat opaque. Monitoring the loss or classification error during training won’t always prevent your model from learning the wrong thing or learning a proxy for your intended classification task. To understand what we mean, consider this (possibly apocryphal) story [1]: Once up
