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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | A Review Paper on Object Detection Network using Deep- Reinforcement Machine Learning |
| Authors Name: | Saurabh Tiwari , Dr. S. Veena Dhari |
| Unique Id: | IJSDR1905025 |
| Published In: | Volume 4 Issue 5, May-2019 |
| Abstract: | In this paper we introduce, and summarize many works and research papers on Reinforcement Learning and Deep Learning. Reinforcement learning and Deep Learning is an area of Machine Learning or Artificial Intelligence, it has an effective tool towards building artificially intelligent systems and solving d. Reinforcement learning was efficient in solving some control system problems. A particular machine learning method called deep learning has gained huge desirability, as it has obtained amazing results in many applications such as object detection, pattern detection, speech recognition, computer vision method, and natural language processing and other AI techniques. Much recent research has also been shown that deep learning methods can be club with reinforcement learning methods to study valuable representations for the problems with high dimensional raw data input. Our review paper focuses on the expansion of the Efficient Object Detection Network (EODNET). CNN model can provides fast object detection and recognition while saving resources like storage space, processing and memory. However, object detection techniques usually require either high power of processing or large accessibility of storage, making it tough for resource constrained plans to perform the detection in real-time without a connection to a server which have huge power. These margins allow for portable devices to attain high frame-rate object detection without the use of a Graphic Processing Unit (GPU). As an example of object detection application, presented in this paper shows the EODNET being used to detect and recognize the types of vehicle as an object. |
| Keywords: | EODNET, Reinforcement Learning, Deep Learning, Artificial Intelligence, Machine learning. |
| Cite Article: | "A Review Paper on Object Detection Network using Deep- Reinforcement Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 5, page no.152 - 158, May-2019, Available :http://www.ijsdr.org/papers/IJSDR1905025.pdf |
| Downloads: | 000337074 |
| Publication Details: | Published Paper ID: IJSDR1905025 Registration ID:190435 Published In: Volume 4 Issue 5, May-2019 DOI (Digital Object Identifier): Page No: 152 - 158 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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