Abstract
In recent years, deep neural networks and their variants have generated remarkable benchmarks in multiple domains spanning from natural language processing to computer vision. The study of intelligence is a broadly followed territory in academia and the construction of intelligent systems to aid humans in diverse tasks. This chapter elaborates upon the key advancements in methodologies pertaining to computer vision and pattern recognition, self driving cars, generation of sound, creation of art and computed predictions.
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Adate, A., Tripathy, B.K. (2022). A Survey on Deep Learning Methodologies of Recent Applications. In: Acharjya, D.P., Mitra, A., Zaman, N. (eds) Deep Learning in Data Analytics. Studies in Big Data, vol 91. Springer, Cham. https://doi.org/10.1007/978-3-030-75855-4_9
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