Abstract
This paper provides an overview of the current artificial intelligence (AI) and machine learning (ML) techniques, including Convolutional Neural Networks(CNN), Adversarial and Generative Techniques, Natural Language Processing (NLP), and Reinforcement Learning(RL). The paper discusses the background, applications, and future trends of these techniques, highlighting their potential for solving real-world problems. The purpose of the paper is to illustrate the trends that are emerging in these areas, as well as the challenges that must be addressed in order to fully realize their potential. By identifying several key areas, this paper concludes the future research and development.
Cite
CITATION STYLE
Yang, Y. (2023). Current Trends in Deep Learning. Advances in Engineering Technology Research, 5(1), 422. https://doi.org/10.56028/aetr.5.1.422.2023
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