Deep Learning Introduction – Witan World

Deep learning also known as deep structured learning or hierarchical learning is part of machine learning based on artificial neural networks. This learning methodology can be supervised, semi-supervised or unsupervised. Deep learning architectures such as neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation where they have produced results comparable to and in some cases superior to human experts. They used a combination of algorithms and mathematics they called "threshold logic" to mimic the thought process. Since that time, Deep Learning has evolved steadily, with only two significant breaks in its development.