Nested Learning: The Illusion of Deep Learning Algorithms

Dr. Jayeshkumar Madhubhai Patel

Neural networks, Convolutional Neural network, Recurrent Neural Network, Long Short-Term Memory and Generative Adversarial Network

Deep learning is a computer-based modeling approach, composed of multiple processing layers that are used to understand the representation of data with multiple levels of abstraction. This review paper presents the state of the art in deep learning to highlight the major challenges and contributions to computer vision. This work mainly summarizes the current understanding of deep learning and their approach in solving the problems of traditional artificial intelligence. These computational models have improved their applications in many other areas, such as object detection, visual object recognition, voice recognition, face recognition, drone visual systems, virtual assistants and genomics, and drug development. the article also describes current trends and challenges in intensive training of neural networks.

https://dx.doi.org/10.31873/IJEAS.12.11.02