- Published in issue 2/2018 on page 16
Deep Learning Architecture
Deep Learning implies the use of deep artificial neural networks, algorithms and computational systems inspired by the human brain to address the problems of Machine Learning. Deep Learning algorithms are very robust and can work under many different operating conditions. They need massive computing power, which is usually provided by a combination of a powerful GPU and an up market CPU. Automatic learning is not a new concept, but continuous advances in computing power are making it a reality. AI (Artificial Intelligent) allows gadgets to interact with their environments much more intelligently.