Pattern Recognition using Machine Learning Techniques

Author(s)	ATHMAKURI NAVEEN KUMAR
Country	india
Abstract	The technique of employing deep neural networks based on upgraded computer hardware has lately received interest in the field of pattern recognition research because of their greater accuracy compared to conventional approaches. In order to attain human-equivalent accuracy in picture classification, object identification, and segmentation, deep neural networks replicate the human visual system. The fundamental design of deep neural networks, which mimic human brain networks, is introduced in this chapter. Then, based on the bottom-up and top-down mechanisms, the most crucial aspects of the human visual perception process, we highlight the operational processes and applications of conditional generative adversarial networks, which are now under active investigation. Finally, new advancements in learning techniques for complex deep neural networks are discussed.
Keywords	pattern recognition, machine learning , deep neural networks, data augmentation
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 3, Issue 5, September-October 2021
Published On	2021-09-13
Cite This	Pattern Recognition using Machine Learning Techniques - ATHMAKURI NAVEEN KUMAR - IJFMR Volume 3, Issue 5, September-October 2021.

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International Journal For Multidisciplinary Research