Deep learning has become very famous over the last few decades, thanks to hundreds of applications that are changing the way we interact with many electronic (and non-electronic) systems. Speech, text, and image recognition; autonomous vehicles; and intelligent bots (just to name a few) are common applications normally based on deep learning models that have outperformed any previous classical approach. However, to better understand what a deep architecture is, we need to step back and talk about standard artificial neural networks (ANNs).
Deep learning at a glance
Artificial neural networks
An ANN or simply a neural network is a directed or recurrent computational structure that connects an input layer to an output one. Normally...
