A review of deep learning for self-driving cars: case study
Joel Murataj, Abdulsalam Alkholidi, Habib Hamam, Afrim Alimeti · CRJ · 2023
Deep Learning (DL) is a subfield of Machine Learning (ML) that deals with algorithms inspired by the structure and function of the brain. DL uses complex algorithms and deep neural nets to train a model. It consists of the learning of artificial neural networks that consider algorithms inspired by the human brain by learning how to use a large amount of data. It includes machine learning, where machines can learn by experience and get skills without human intervention. The importance of deep learning is the ability to process a large number of characteristics allowing deep and powerful learning when dealing with ambiguous data. This paper aims to study and analyze to be updated existing papers related to the deep learning field and introduce our contribution. An additional aim of this review paper is to concentrate on the self-driving cars case study and introduce the new approach with high performance.