The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Understand

Deep learning has demonstrated tremendous success in variety of application domains in the past few years.

• This new field of machine learning has been growing rapidly and applied in most of the application domains with some new modalities of applications, which helps to open new opportunity.
• There are different methods have been proposed on different category of learning approaches, which includes supervised, semi-supervised and un-supervised learning.
• The experimental results show state-of-the-art performance of deep learning over traditional machine learning approaches in the field of Image Processing, Computer Vision, Speech Recognition, Machine Translation, Art, Medical imaging, Medical information processing, Robotics and control, Bio-informatics, Natural Language Processing (NLP), Cyber security, and many more.