Deep learning is an extension of the classical machine-learning approach using neural networks: instead of building networks of a few layers (so-called shallow networks), we can stack hundreds of layers to create an elaborate, but more powerful, learner. Deep learning is one of the most popular methods of artificial intelligence (AI) nowadays since it's very effective and helps to solve many problems in pattern recognition, such as object or sequence identification, which seemed unbreakable using standard machine learning tools.
The idea of neural networks came from the human central nervous system, where multiple nodes (or neurons) that are able to process simple information are connected together to create a network capable of processing complex information. In fact, neural networks are so named because they can learn the weights of the model...
