Deep Learning

In 2006, Professor of machine learning at University of Toronto, Canada, Geoffrey Hinton and his student Salakhutdinov presented the concept of Deep Learning for the first time in the top academic journal Science. Deep learning is a new field in machine learning research. The core lies in the establishment and simulation of human brain to analyze and study the neural network, so as to imitate the human brain mechanism to mark, analyze and interpret data such as image, sound and text. With the new information storage and transmission technology making the preservation and extraction of massive data more efficient and direct, a sufficient technology environment has accelerated the breakthrough of deep learning from the theoretical level to the application level. Today, deep learning has achieved breakthrough in the field of image recognition, speech recognition and many other areas, and has been recognized as the revolutionary technology by the artificial intelligence field.