Google publishes new research into how neural networks 'think'

Understanding interpretations Establishing what happens inside the "brain" of a neural network has been an ongoing research aim for Google over the past few years. The company first described the internal workings of neural networks in a 2015 paper, explaining how the systems are able to create new images and recognise items. The company has now followed up on its "Inceptionism" paper with a new study into the "Building Blocks of Interpretability." Over the past year, Google has acquired more understanding of the way in which neural networks interpret images. In a blog post, the company said it's now exploring how to understand neural networks in the context of the "bigger picture."