A Review on Conventional Machine Learning vs Deep Learning 论文

摘要

In now days, deep learning has become a prominent and emerging research area in computer vision applications. Deep learning permits the multiple layers models for computation to learn representations of data by processing in their original form while it is not possible in conventional machine learning. These methods surprisingly improved the accuracy of various image processing domains such as speech recognition, face recognition, object detection and in biomedical applications. Deep neural networks (DNN) such as convolutional neural network (CNN) provide tremendous results in processing of images and videos, while another approach of deep network i.e. recurrent neural network (RNN) gives better performance with sequential data such as text and speech.