An Overall Workflow of Deep Learning in Modern Technology
Thaharim Khan1, Masud Rabbani2, Shah Md. Tanvir Siddiquee3, Ahmed Al Marouf4
1Thaharim Khan, Department of Computer Science and Engineering, Daffodil International University (DIU), Dhaka, Bangladesh.
2Masud Rabbani, Department of Computer Science and Engineering, Daffodil International University (DIU), Dhaka, Bangladesh.
3Shah Md. Tanvir Siddiquee, Department of Computer Science and Engineering, Daffodil International University (DIU), Dhaka, Bangladesh.
4Ahmed Al Marouf, Department of Computer Science and Engineering, Daffodil International University (DIU), Dhaka, Bangladesh
Manuscript received on 26 May 2019 | Revised Manuscript received on 05 June 2019 | Manuscript published on 30 June 2019 | PP: 1871-1875 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6880058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Modern technology blessed us with many amenities. Those invention of modern science has lessened our workload with many others flexibility. Modern technology has been growing up significantly after the implementation of artificial intelligence (AI) in various sector. Machine Learning (ML), Natural language processing (NLP), Expert system (ES), Computer Vision (CV), Planning & Optimization (P&O), Robotics (RT), Deep Learning (DL), Image Recognition (IR) all are intertwined with AI. Deep learning, one of the most interesting affiliate of AI which terminate the provision of usual invention. One can think of various type of innovation about which only come to their imagination. Some devising work which appears in front of us seems like as a human being is doing that output. The algorithm that deep learning use is more efficient and acceptable for those modern amenities which are called the blessings of modern science. All that devising works in modern age is used by us but could not understand the way how that devising element perform or what the mechanism is. This project gives one a clear view about the deep learning. This paper focus on those algorithms and working procedure which is needed for developing innovative things and which make deep learning more acceptable to us.
Keywords: Machine Learning (ML), Natural Language Processing (NLP), Expert system (ES), Computer vision (CV), Planning & Optimization (P&O), Robotics (RT), Deep Learning (DL), Image Recognition (IR).
Scope of the Article: Machine Learning