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Real-Time Object Recognition using Region based Convolution Neural Network and Recursive Neural Network
2019
International journal of recent technology and engineering
The recognition of real-world objects demands the recognition and characterization of digital image samples. Automated methods for the detection and recognition of entity types have many significant commercial and industrial applications. While deep convolution neural networks (CNN) and machine learning (ML) concepts have contributed to the classification of globe items, they cannot fully scale the reliance of powerful GPUs to classify the key attributes of images. By using a Recurrent Neural
doi:10.35940/ijrte.d8326.118419
fatcat:3znfgj5mhrh4xoq6bexwul2hv4